Journal articles: 'Vehicle maintenance'

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Zulfan, Zulfan, and Munawir Munawir. "Aplikasi Reservasi Maintenance Kendaraan Berbasis SMS Gateway." Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) 3, no. 1 (June 30, 2019): 34. http://dx.doi.org/10.35870/jtik.v3i1.84.

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Private or public vehicles as a means of transportation are now increasingly being used. This develops along with a large number of residents in their daily activities. With so many vehicles the need for vehicle maintenance centers is also growing. At present, the vehicle maintenance center is not proportional to the number of vehicles. This problem is seen by many vehicle users who are waiting to take care of their vehicles and some of them have to make reservations. Reservations made are still conventional in nature that is still making reservations at the vehicle maintenance center. Therefore, the purpose of this paper is to explain the making of the SMS Gateway vehicle reservation application. The method used is the Software Development Life Cycle (SDLC) using PHP, MySQL, and Gammu programming. This research produces an application that can make customers make vehicle maintenance reservations remotely using SMS media. And customers can receive information about vehicles that have been completed through maintenance via SMS sent via the application server.Keywords:Reservation, Vehicle, Information System, SMS gateway

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Mallouk, Issam, Badr Abou El Majd, and Yves Sallez. "Optimization of the maintenance planning of a multi-component system." MATEC Web of Conferences 200 (2018): 00011. http://dx.doi.org/10.1051/matecconf/201820000011.

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The vehicle’s maintenance costs, uptime and security are the most important goals for owners and transport companies, but these goals are conflictual and the major cause for delays is related to the maintenance policies. The main objective of transporters is to respond properly to their customer’s demands. In order to deal with this competitiveness, transport companies are working to improve the management of their fleets by focusing in particular on vehicle maintenance, which impact the vehicles uptime, and generate the most important cost. In addition, a vehicle maintenance policy aims to avoid failures and keep the vehicle up and safe. This objective is reached by ensuring a high reliability; otherwise, an unexpected failure of a component can cause vehicle down and can affect the entire sub-system while generating costs. In this paper, we propose a new maintenance policy based on multi-objective optimization. This problem is solved using the Speed-Constrained Multiobjective Particle Swarm Optimization (SMPSO) for an instance of 18 components and 20 vehicles. First, we give an overview of the existing techniques used for vehicle’s maintenance policy, then we present the mathematical model that describes the cost of maintenance and the level of safety. Numerical experiments are presented to demonstrate the efficiency of our approach.

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Mikulić, Iva, Igor Bošković, and Goran Zovak. "Effects of Driving Style and Vehicle Maintenance on Vehicle Roadworthiness." Promet - Traffic&Transportation 32, no. 5 (October 5, 2020): 667–77. http://dx.doi.org/10.7307/ptt.v32i5.3443.

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Vehicles that are non-roadworthy pose a hazard for all road users and can be one of the main causes of traffic accidents. Previous studies have analysed the impact of the driving style on environmental sustainability and road safety. Starting from this, there was a need to further investigate the relationship between the driving style and vehicle roadworthiness as well. Vehicles that do not comply with the prescribed requirements should be excluded from traffic at a periodic technical inspection. However, the causes of detected vehicle defects cannot be established at a periodic technical inspection. The paper therefore, examines the factors affecting vehicle roadworthiness. First, the failure rate and mileage of vehicles at periodic technical inspection regarding the type of ownership was examined. In addition, a questionnaire was conducted to collect data about the driving style and maintenance habits of different types of car owners. The paper argues that vehicles owned by legal entities were generally in a worse condition than the vehicles owned by natural persons, due to the increased vehicle exploitation, but also due to a more aggressive driving style. Finally, it was found that by modifying their driving style, the drivers can affect the condition of their vehicles, considering the same mileage and maintenance habits.

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Abdukhalilovich, Ikromov Ikboljon, and Meliyev Hudoyor Obloyorovich. "Support for vehicle maintenance." Asian Journal of Multidimensional Research (AJMR) 9, no. 6 (2020): 165. http://dx.doi.org/10.5958/2278-4853.2020.00208.6.

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Redreev, G. V., A. A. Luchinovich, and S. N. Boltovsky. "Transport Vehicle Maintenance Optimization." IOP Conference Series: Earth and Environmental Science 720, no. 1 (April 1, 2021): 012043. http://dx.doi.org/10.1088/1755-1315/720/1/012043.

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Komlósi, István, Tamás Zoltán Varga, József Menyhárt, Paulo Victor De Souza Araujo, and Paulo Araújo. "Maintenance of Electric and Hybrid Vehicles." International Journal of Engineering and Management Sciences 5, no. 3 (December 10, 2020): 37–46. http://dx.doi.org/10.21791/ijems.2020.3.5.

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An electric car is a vehicle powered by one or more electric engines, utilizing energy stored within batteries that are rechargeable. The first register of a usable electrical vehicle dates from 1880s. A hybrid vehicle incorporates two or more different power types, including, e.g., gasoline engines and electric motor. The goal in this work is to present the overall overview of the structure of the electric, hybrid and electric-hybrid vehicles, advantages and disadvantages of these types, the main points to focus when maintaining these and the challenges involved in its production and maintenance.

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Qiao, Xiang Ming, Heng Hai Zhang, and Zheng Luan Li. "Agricultural Transport Vehicle Maintenance Cycle Optimization Analysis and Modeling." Applied Mechanics and Materials 229-231 (November 2012): 1835–39. http://dx.doi.org/10.4028/www.scientific.net/amm.229-231.1835.

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To solve the optimization problem of agricultural transport vehicles’ maintenance cycle, in the premise of periodic testing and diagnosing technical condition of vehicles, based on the Weibull distribution, and use renewal function H (t), the related mathematical model is established, which optimization objective is to make the costs required for vehicle detection, diagnosis and maintenance unit run time (or mileage) the lowest. By analyzing a large number of collected samples, we confirm the running fault of a certain type agricultural transport vehicles belonging to Weibull distribution, and find the optimal solution of built model. Vehicle running tests show that the results are accurate and reliable, can guide the vehicle transport operations.

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Kamlu, Sushma, and V. Laxmi. "Condition-based maintenance strategy for vehicles using hidden Markov models." Advances in Mechanical Engineering 11, no. 1 (January 2019): 168781401880638. http://dx.doi.org/10.1177/1687814018806380.

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Operation and maintenance have their own impact in every field. Maintenance strategy is followed to provide unwavering quality and security for a healthy transportation system. Therefore, the transportation system requires an appropriate maintenance schedule of the vehicles. The classical analysis of the present and future performance of systems tries to assure that the safety and operational condition of the system so as to enhance the ability of credentials of proactive malfunction circumstances. Condition-based maintenance identifies the vehicle status based on wire or wireless monitored data and predicts malfunction to carry out suitable maintenance actions like repair and replacement before it happens. Different uncertainties like terrain, mileage of the vehicle and applied load on the vehicles have been utilized as the constraints of fuzzy-based vehicle maintenance scheduling. The response of vehicle maintenance scheduling (VMS) provides the details regarding the type of maintenance and time period in weeks for proposed maintenance plan. Probability values of constraints acquired by the hidden Markov model have been utilized as input of VMS. The response of vehicle maintenance scheduling has been compared with input obtained by Monte Carlo simulation. Reliability of the methodology corroborates the effectiveness of the proposed methodology in the field of maintenance scheduling for healthy transportation system.

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Shafi, Uferah, Asad Safi, Ahmad Raza Shahid, Sheikh Ziauddin, and Muhammad Qaiser Saleem. "Vehicle Remote Health Monitoring and Prognostic Maintenance System." Journal of Advanced Transportation 2018 (2018): 1–10. http://dx.doi.org/10.1155/2018/8061514.

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In many industries inclusive of automotive vehicle industry, predictive maintenance has become more important. It is hard to diagnose failure in advance in the vehicle industry because of the limited availability of sensors and some of the designing exertions. However with the great development in automotive industry, it looks feasible today to analyze sensor’s data along with machine learning techniques for failure prediction. In this article, an approach is presented for fault prediction of four main subsystems of vehicle, fuel system, ignition system, exhaust system, and cooling system. Sensor is collected when vehicle is on the move, both in faulty condition (when any failure in specific system has occurred) and in normal condition. The data is transmitted to the server which analyzes the data. Interesting patterns are learned using four classifiers, Decision Tree, Support Vector Machine, K Nearest Neighbor, and Random Forest. These patterns are later used to detect future failures in other vehicles which show the similar behavior. The approach is produced with the end goal of expanding vehicle up-time and was demonstrated on 70 vehicles of Toyota Corolla type. Accuracy comparison of all classifiers is performed on the basis of Receiver Operating Characteristics (ROC) curves.

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Hickman, A. J. "Vehicle maintenance and exhaust emissions." Science of The Total Environment 146-147 (May 1994): 235–43. http://dx.doi.org/10.1016/0048-9697(94)90242-9.

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., Murugadass, P. Sheela Gowr, M. Latha, and U. V. Anbazhagu. "IOT connected predictive vehicle systems." International Journal of Engineering & Technology 7, no. 2.21 (April 20, 2018): 391. http://dx.doi.org/10.14419/ijet.v7i2.21.12449.

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Predictive maintenance is to identify vehicle maintenance issues before they occur. By leveraging data from navigation locator and motion of vehicle, status and parts of the vehicle, requirement of service, warranty repairs with current vehicle sensor data would be difficult for a human to discover. Predictive data analytics can find meaningful correlations via Connected Vehicle which is a technological advancement in Automobile industry. Using Internet of Things IOT, various information like health information of a driving person and navigation of vehicle can be easily monitored. Connected vehicle deals with cars and other vehicles where we the data will be shared with the backed applications like micro services.

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Mechlia, Malek, Jérémie Schutz, Sofiene Dellagi, and Anis Chelbi. "Quasi-Optimal Sizing of a Vehicle Fleet Considering Environmental Impact, Maintenance, and Eventual Containment Measures." Sustainability 13, no. 8 (April 14, 2021): 4384. http://dx.doi.org/10.3390/su13084384.

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In this paper, N types of vehicles having different environmental impacts and different failure rates are considered to perform a set of missions during a predefined period. The sizing problem of the fleet of vehicles is typically based on the literature for the environmental impact of each type of vehicle. This work intends to develop a model that allows considering not only the extent of recourse to non-polluting vehicles but also the preventive maintenance (PM) policy to be adopted for each of the N types of vehicles. More specifically, the objective of this work consists in determining simultaneously the quasi-optimal number of vehicles of each type to be used, the duration of their use, and their average usage rate as well as the period according to which each type of vehicle should be submitted to preventive maintenance. A mathematical model is developed to express and optimize the expected total cost, which includes the costs related to acquisition, operating, maintenance, and environmental impact in addition to considering the resale value. Then, the situation of using the acquired vehicle fleet in a context of a health crisis with containment measures is considered. The latter make it impossible to perform preventive maintenance actions during the containment period. For such situations, given the accumulated degradation in absence of preventive maintenance, the cost model is modified to generate a new preventive maintenance plan to be applied for each vehicle after the containment exit. Numerical results related to fuel and electric vehicles of two brands (Renault and Nissan) are presented and discussed.

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An, Xu, Xiang Ming Qiao, Chang Li Zhao, Sheng Tian Liu, Hen Hai Zhang, and Guang De Han. "Vehicle Operating Fault Regularity and its Application in Inspection and Maintenance." Advanced Materials Research 1070-1072 (December 2014): 2079–82. http://dx.doi.org/10.4028/www.scientific.net/amr.1070-1072.2079.

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To reveal the fault occurrence regularity during actual operation of transport vehicle, based on reliability, maintainability and optimization theory and method, and by the the technical means such as large sample testing, mathematical modeling and multivariate data analysis, after several years of follow-up research, we found that the occurrence of vehicle failts obey Weibull distribution, and given specific failt rate functions. Accordingly, we established a corresponding optimal mathematical model of vehicle maintenance cycle, and got the optimal solution of the model. The results of special organized verify test shows that the model solution is accurate and reliable. If transport vehicles perform the optimal vehicle maintenance cycle, the lowest unit mileage cost of vehicle detection, diagnosis and maintenance would be got.

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Makarova, Irina, Vadim Mavrin, Larisa Gabsalikhova, and Nikolaj Gorjaev. "Methods to decrease the influence of the vehicles’ service and repair system on the environment." MATEC Web of Conferences 334 (2021): 01021. http://dx.doi.org/10.1051/matecconf/202133401021.

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Article notes that vehicle maintenance and repair system have a significant negative impact on the environment. To reduce it, dealers must develop and implement an effective environmental management system. Identification of environmental aspects, as well as works and operations related to these aspects were performed. Model’s algorithm of the territorial accommodation of vehicle’s dealers is presented. This model will allow to find a balance between the vehicle’s service system efficiency indicators of the, the costs for owners to delivery of vehicles, waiting in the queue and maintenance and the impact on the environment.

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Xie, Yong, Bing Cheng Yuan, and Qing Yu Meng. "Theoretical Analysis for Storage Reliability of Underwater Vehicle." Applied Mechanics and Materials 148-149 (December 2011): 1214–17. http://dx.doi.org/10.4028/www.scientific.net/amm.148-149.1214.

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For those underwater vehiclees always stored in underwater vehicles-boxes which are filled in nitrogen annoys,the paper provides a formula of calculating storage reliability and relevant cases.Based on this,according to actual launching frequency of trial mission and storage time.It sets up the formulas of each underwater vehicle on launching frequency、maintenance frequency and the frequency of shore-based ohmic exercises.The results of calculation indicate that they are of high practicability and applicability,and can be applied in theoretical analysis on current storage reliability of underwater vehiclees in commission.

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Kuka, Naim, Riccardo Verardi, Caterina Ariaudo, and João Pombo. "Impact of maintenance conditions of vehicle components on the vehicle–track interaction loads." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 232, no. 15 (July 31, 2017): 2626–41. http://dx.doi.org/10.1177/0954406217722803.

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To improve the efficiency and competitiveness of railway transport, passenger and freight trains should travel faster and have increased payload, without losing the necessary levels of running safety and ride comfort, as well as assuring low aggressiveness on track and minimising the life cycle costs. Hence, the manufacturer’s challenge consists of improving the dynamic performance of the railway vehicles and reducing the loads on the track as well as on the rolling stock components. These objectives can be achieved through optimizing the design of the vehicle, while taking into consideration that the characteristics of the vehicle and of the track may change over time and space, and that they depend on the maintenance conditions of the vehicle and of the infrastructure. This work proposes a computational methodology to study how the varying vehicle component characteristics, on normal and degraded conditions, impact on the vehicle/track interaction loads and on the track damage. The purpose of this study is to trace a path towards a realistic definition of a load mission profile for the structural fatigue dimensioning of the vehicle components. The assessment criteria and the evaluated quantities are defined according to the EN14363 regulation.

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ISHIDUKA, Hiromichi. "Technology Trend of Railway Vehicle Maintenance." JOURNAL OF THE JAPAN WELDING SOCIETY 77, no. 6 (2008): 571–75. http://dx.doi.org/10.2207/jjws.77.571.

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Huang, He. "Research on Vehicle Preventive Maintenance Equipment." IOP Conference Series: Earth and Environmental Science 693, no. 1 (March 1, 2021): 012110. http://dx.doi.org/10.1088/1755-1315/693/1/012110.

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Qiu, Xiao Hua, and Chao Zu Ma. "Virtual Maintenance Technology Application Research in Agricultural Vehicle Repair." Applied Mechanics and Materials 490-491 (January 2014): 484–89. http://dx.doi.org/10.4028/www.scientific.net/amm.490-491.484.

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This paper introduces the virtual maintenance technology, expounds the present situation of agricultural vehicle maintenance and the necessity of virtual maintenance application in vehicle maintenance, and discusses the application of virtual maintenance technology in agriculture vehicle maintenance. Finally the suggestions used on virtual agricultural vehicle maintenance in the future are put forward.

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Zalewski, Jarosław. "Selected problems of motor vehicle maintenance after side impact collision." MATEC Web of Conferences 182 (2018): 01019. http://dx.doi.org/10.1051/matecconf/201818201019.

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Over the years certain amount of works have been devoted to the selected aspects of motor vehicle collision modeling. Also, in some previous works by the author of this paper the selected problems related to collision modelling have been included. Those papers concerned mostly relations of the obtained crash simulation results to analytical results based on the Routh method, including restitution of the velocities normal and tangential to the plane of crash common for both vehicles involved in the accident. The aim of this paper is to present the selected problems related to the side impact motor vehicle collision modeling, which can be considered as a cause for certain diagnostic problems related to further maintenance of such vehicle after repair.

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NIZIŃSKI, Stanisław, and Włodzimierz KUPICZ. "MAINTENANCE AND SAFETY CONTROL OF MILITARY MOTOR VEHICLES." Scientific Journal of the Military University of Land Forces 160, no. 2 (April 1, 2011): 247–59. http://dx.doi.org/10.5604/01.3001.0002.2996.

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The paper presents the essence of the maintenance and safety of military vehicles with the use ofrules, methods and devices of technical diagnostics. Within the system of motor vehicles maintenance,the subsystems of maintenance performance and maintenance control are distinguished.The notion of the logistic supersystem of motor vehicles is introduced.The article presents an algorithm for diagnosing and evaluating the safety of motor vehiclesin combat. It has been suggested that one should always diagnose the following system:the vehicle – the crew – the environment. It has also been emphasised that there is a need todevelop technologies to diagnose and maintain motor vehicles.

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Kosobudzki, Mariusz, Tadeusz Smolnicki, and Mariusz Stańco. "The Model of Estimating the Loss of Maintenance Potential the High Mobility Wheeled Vehicle." Solid State Phenomena 220-221 (January 2015): 833–36. http://dx.doi.org/10.4028/www.scientific.net/ssp.220-221.833.

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In the paper, the model of estimating the loss of maintenance potential of high mobility wheeled vehicles within proving ground tests is presented. This problem is up-to-date, especially important for military vehicles. The authors have analysed the selected requirements directed to this class of vehicles. In the main body of the paper, some model that could be applied in on-line system of prognostic Health and Usage Monitoring System (pHUMS) was presented. This model can be used to analyse information about the maintenance process of vehicle before some maintenance decision would be made.

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Wu, Jing Jing, Qi Chang Li, Guang Long Wang, Feng Qi Gao, and Zhong Tao Qiao. "The New Vehicle Condition Monitoring Indicator VPR and its Short-Time Prediction ARMA Model." Applied Mechanics and Materials 330 (June 2013): 350–56. http://dx.doi.org/10.4028/www.scientific.net/amm.330.350.

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The vehicle storage & transportation condition monitoring system focuses on the real time acquisition and processing analyses of life cycle environmental temperature and humidity, shock and vibration stress and the attitude and position information of Vehicle, it is the effective supplement of vehicle equipment maintenance and management. Based on the vehicle storage state information defining a new index early warning rate vehicle predictive rate (VPR), and establish the ARMA forecasting model. The experimental results show that the model can slow the short-term trend fast track prediction to the small capacity samples of the VPR, and that about 12% of high precision. Prediction results help to establish the vehicle equipment maintenance quality management plans for the vehicles those in complex difference transportation environment, and their performance status is not the same.

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Chernyaev, I. O., S. A. Vorob'ev, and S. A. Evtyukov. "Method for continuous individual correction of vehicles` maintenance interval." Вестник гражданских инженеров 17, no. 2 (2020): 202–7. http://dx.doi.org/10.23968/1999-5571-2020-17-2-202-207.

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The article considers the existing methods of correcting the vehicles` maintenance interval. Based on the analysis of modern features of road transport operation, some disadvantages are shown. The authors provide a developed method of continuous individual correction, which allows calculating the rational maintenance interval individually for the vehicle based on information about the conditions under which its operation is carried out. The use of information about the geographical coordinates of the vehicle obtained using global navigation systems for the implementation of the developed method is considered. Calculation formulas and algorithm are provided. Recommendations for improving the developed method and the direction of further research are offered.

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Denisov, I. V., and A. A. Smirnov. "RESEARCH OF THE OPERATIONAL DEPENDABILITY OF THE LADA KALINA VEHICLE SYSTEMS AFFECTING TRAFFIC SAFETY." Dependability 17, no. 4 (November 22, 2017): 31–35. http://dx.doi.org/10.21683/1729-2646-2017-17-4-31-35.

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The growing number of cars in the Russian Federation means that a large number of vehicles with different performance indicators get involved in the transportation process. One of those indicators is dependability that is a key characteristic of quality. A vehicle’s operation is the primary test of its dependability, of which the indicators depend on the used design solutions and the manufacturing process. Defects occurring at various stages of vehicle manufacture significantly affect the dependability indicators. It must be noted that a vehicle is a source of increased hazard. A failure of a vehicle in operation due to a manufacturing defect or nonobservance of operation conditions may cause an accident. Therefore it is extremely important to have at one’s disposal information on the implemented systems reliability indicators that affect active safety. In this context, the research of automotive vehicles dependability in operation is a relevant scientific task, solving which will enable managing the technical condition of vehicles and ensure traffic safety.The aim of this research was to evaluate the operational dependability of the systems that directly affect the road safety of Lada Kalina with subsequent use of the obtained information in the development of automated systems for management of automotive vehicle technical condition in operation.The methods of research are based on the theoretical foundations of vehicle maintenance, the probability theory and mathematical statistics, experimental design theory. Standard methods of processing of statistical information on the operational dependability of vehicles were used. The data was obtained from official OAO AvtoVAZ dealerships in the Vladimir Oblast. As the result of research of the operational dependability of the systems that directly affect the road safety of Lada Kalina a list of defective components in the steering, braking, chassis, lighting and signalling systems was identified. Times to failure of parts, units and assemblies that limit the vehicle dependability, as well as the primary numerical characteristics of random distribution were determined. The defects identified at early stages of operation indicate design and manufacturing flaws of Lada Kalina.Conclusions: In this paper the authors present the findings regarding the defects of the Lada Kalina systems that directly affect traffic safety. This information was obtained by means of analyzing vehicle failures within the warranty period that were recorded based on the owners’ applications to the OAO AvtoVAZ dealerships an maintenance facilities in the Vladimir Oblast. Maintenance facilities, when performing diagnostic operations as part of routine maintenance, should take into consideration the list of the least dependable vehicle components given in this paper and directly affecting the traffic safety. The manufacturing factory should take note of the indicated defects and develop a plan of their elimination, as well as timely inform the consumers of the identified warranty-specific defects and recall the products.

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Zhu, Wei, Di Yang, and Jun Huang. "A hybrid optimization strategy for the maintenance of the wheels of metro vehicles: Vehicle turning, wheel re-profiling, and multi-template use." Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 232, no. 3 (March 9, 2017): 832–41. http://dx.doi.org/10.1177/0954409717695649.

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The wheel–rail contact relationship has a great impact on the security and reliability of metro vehicles in service. In particular, wear modeling and maintenance optimization of the wheels play significant roles with regard to both safety and cost. However, it is difficult to provide a satisfactory model of wheel wear because of the open nature of real wheel–rail systems and the constantly varying environmental conditions in which they operate. Historically, re-profiling, which also has its limitation to some extent, was adopted as a common strategy to restore the original profiles of the worn wheels. Acknowledging that re-profiling is not the only strategy for dealing with wheel wear, the authors of this study have developed a more advanced optimization approach that includes two more strategies, namely, vehicle turning and multi-template use, to give as near an optimal solution as possible. Vehicle turning refers to the reversal of the vehicle’s orientation on the rail, whereas multi-template use refers to the situation where different re-profiling templates are used alternately. In this paper, re-profiling, vehicle turning, and multi-template use have been discussed separately. Then a hybrid optimization strategy for the maintenance of the wheels of metro vehicles has been proposed, with the aim of maximizing the wheel life while minimizing the relevant costs. An initial case study on the Shanghai Metro system shows that the proposed approach is able to provide a more reasonable solution for the optimization of the maintenance strategies.

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Monteiro Tavares, Carla Mericia, and Janusz Szpytko. "Maintenance strategy for vehicle with electronic fuel injection system." Journal of KONBiN 42, no. 1 (June 1, 2017): 379–88. http://dx.doi.org/10.1515/jok-2017-0034.

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Abstract The introduction of new vehicles technology has been projected for advanced technologically places. Their use and operation, is a theme of big concern for developing countries. This work is part of the study for the creation and establishment of a maintenance strategy and policy, which will be acceptable in developing countries. The paper proposes a methodology for the identification of critical components of the electronic fuel injection system with failure mode, effects and criticality analysis tool (FMECA). With the elaboration of this work, was possible to visualize that the maintenance strategy for each component depends strongly on the availability of equipment for the diagnosis (fail detection). As future work, would be important to study the influence of others parameters that influence the maintenance and vehicle operation, as cost, environment, human aspect and vehicle operation. Another useful analyses would be, to analyses the data in a probabilistic interpretation in order to visualize influence of each component failure in the system failure.

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Menyhárt, József. "Artificial Intelligence Possibilities in Vehicle Industry." International Journal of Engineering and Management Sciences 4, no. 4 (December 12, 2019): 148–54. http://dx.doi.org/10.21791/ijems.2019.4.16.

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There have been several attempts during the last decades to extend the ranges of application of artificial intelligence. The aim of the development for AI is to replace human intelligence and experience. The ultimate aim for machines and vehicles is to run much more efficiently and with higher reliability than ever before. The Artificial Techniques (AI) used a wide range of expert systems to optimize problems. Hybrid intelligent management systems have become increasingly influential in artificial intelligence during the last decades. As a result, maintenance and fleet management systems have undergone significant development. By choosing adequate maintenance or operating strategy and taking user behaviour into consideration, these systems can not only increase the reliability and efficiency of vehicles but can also result in financial savings. The paper tries to discusses the applications of AI techniques in predictive maintenance and vehicle industry.

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Kosobudzki, Mariusz. "The Load Model of Chosen Element of Underframe with Use the Acceleratrion Signals." Advanced Materials Research 1036 (October 2014): 604–7. http://dx.doi.org/10.4028/www.scientific.net/amr.1036.604.

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Nowadays modern mechanical objects, above all that which are use in special purposes use the most innovative solutions that should increase their functional quality. The maintenance of those mechanical objects involves the high financial expenditures which is strictly connected with the total life cycle costs. To reduce those costs and keep up the mechanical readiness index on acceptable level the condition based maintenance strategy is more and more desirable. This is connected with the total durability of the element and its threshold value. So, in the strategy the tracking of the loss of maintenance potential of analyzed element is necessary and evaluation of the residual durability as well. In the paper, the method of life estimating the chosen element of high mobility vehicle was presented. This class of vehicle is constructed to move in various on-and off-road conditions. In many cases this vehicles play a key role in public utilities and armed forces. Very often the high mobility chassis has been used to create a special purpose vehicle. The total cost of life cycle this class of vehicles is considerable, so a method to check the loss of maintenance potential of vehicle is desirable . To solve this problem and draw up a mechanical and maintenance characteristics of a vehicles profiled ground tests have been created and various tests have been carried out . This approach have been time consuming and very expensive. What is more, results of tests are strictly connected with sort of roads selected to tests and depends on a lot of random variables. So, a worked out characteristics are statistically correct rather for the whole group of vehicle than to every single one. The proposed method is able to track the loss of maintenance potential of a critical element of every one vehicle of this class in real road condition. The method joins possibilities of calculating the load in frequency domain with fatigue strength of the most loaded points in an analyzing unit according to its FEM model. The developed method enabled to characterize relationship of decrease of maintenance potential of the critical element in terms of the type of the road and surface, and the speed of movement . The method makes it possible to forecast the residual work capacity expressed in units of time and after taking the speed of movement into consideration, also mileage expressed in kilometers.

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Costanzi, M., and D. Cebon. "An investigation of the effects of lorry suspension performance on road maintenance costs." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 221, no. 11 (November 1, 2007): 1265–77. http://dx.doi.org/10.1243/09544062jmes639.

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A mathematical model of the interaction between a fleet of heavy vehicles and a spraysealed road surface is developed and validated using field performance data. Key features of the model include: (a) modelling the dynamic performance of the vehicle fleet using an ensemble of ‘quarter car’ vehicle models; (b) careful accounting for the ‘spatial repeatability’ of tyre forces; (c) use of accelerated pavement performance test data to model the evolution of the road surface profile; (d) surface maintenance intervention based on permanent deformation (rutting), potholing and excessive surface roughness. The model is used to predict long-term road maintenance intervention costs and to compare the predicted road maintenance costs for various suspension scenarios in the vehicle fleet. The simulation results indicate that conversion of the heavy vehicle fleet from conventional leaf spring suspensions to ‘road-friendly’ suspensions would results in a reduction in road maintenance costs per tonne-km of 14 per cent. Increasing the freight load by 3.0 tonnes per vehicle would reduce this benefit to approximately 1 per cent. If the fleet was to have 50 per cent poorly maintained shock absorbers, the simulations show an increase in road maintenance expenditures per tonne-km: about 5 per cent higher than conventional suspensions at the lower weights and 21 per cent higher at the higher weights.

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Virca, Ioan, and Vasile Căruţaşu. "Analysis of the Possibility of Applying the Maintenance System based on Reliability by Comparative Appreciation of the Braking Installation." International conference KNOWLEDGE-BASED ORGANIZATION 22, no. 3 (June 1, 2016): 686–91. http://dx.doi.org/10.1515/kbo-2016-0118.

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Abstract Analysing the current maintenance system, one can obviously notice a disadvantage to be found in all the cases in which the maintenance activities prove useless, not resulting in finding the flaws or the conditions leading to them, the verified equipment being declared as functioning well. Thus, it becomes indispensable that a rapid and efficient strategy should be implemented for the diagnosis of the component parts of the vehicles, the maintenance based on reliability respectively, which constantly monitors the evolution of parameters so that the permanent state of the vehicle is made known, as well as the necessary maintenance activities. As such, the maintenance based on reliability promotes an efficient policy of the maintenance activities throughout the period of using the vehicle, all the expenses being offset by reducing the maintenance costs through the decrease of the immobilisation time and the number of repair operations. The paper deals with a new approach of the aspects related to the maintenance system of vehicles, relying on mathematical statistics which allows for modelling the strategies likely to be applied within the system. The results of a mathematical approach should not be neglected since the future strategies of managing the maintenance processes of the technical systems cannot be based on simple empirical reasoning, which has most often proved costly.

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Howden, James, Leandros Maglaras, and Mohamed Amine Ferrag. "The Security Aspects of Automotive Over-the-Air Updates." International Journal of Cyber Warfare and Terrorism 10, no. 2 (April 2020): 64–81. http://dx.doi.org/10.4018/ijcwt.2020040104.

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Over-the-air (OTA) update is a method for vehicle manufacturers to remotely distribute maintenance updates, performance, and feature enhancements through the vehicle's lifespan. Recalls of vehicles cost the manufactures a lot of money. OTA solves the recall issue, while allowing consumers to pay for services and features via an update. The OTA ecosystem includes the coders who first developed the firmware, the 1st Tier suppliers, the vehicle manufacturers, and the vehicle itself. Currently, manufacturers designed the networks for speed and responsiveness, and not security. This article examines these elements and drills into the security available for each. The slowest and one of the most vulnerable parts of the system is the communications within the vehicle. The vehicle networks must ensure the integrity and authenticity of messages transmitted to guarantee software programmed onto ECUs are authorized and tamper-free. Specialist hardware within the vehicle makes this possible in an operation environment, such as hardware security modules.

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Talukdar, Bipul Kumar, and Bimal Chandra Deka. "An Approach to Reliability, Availability and Maintainability Analysis of a Plug-In Electric Vehicle." World Electric Vehicle Journal 12, no. 1 (March 1, 2021): 34. http://dx.doi.org/10.3390/wevj12010034.

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Electric vehicle technologies have seen rapid development in recent years. However, Reliability, Availability, and Maintainability (RAM) related concerns still have restricted large-scale commercial utilization of these vehicles. This paper presents an approach to carry out a quantitative RAM analysis of a plug-in electric vehicle. A mathematical model is developed in the Markov Framework incorporating the reliability characteristics of all significant electrical components of the vehicle system, namely battery, motor, drive, controllers, charging unit, and energy management unit. The study shows that the vehicle’s survivability can be increased by improving its components’ restoration rates. The paper also investigates the role of a charging station on the availability of the vehicle. It illustrates how the grid power supply’s reliability influences the operational effectiveness of a plug-in electric vehicle. The concepts that are presented in the article can support further study on the reliability design and maintenance of a plug-in electric vehicle.

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Kruk, Zygmunt. "Markov model of the operations & maintenance process of vehicles scheduled to be Operated." Journal of KONBiN 51, no. 1 (March 1, 2021): 213–23. http://dx.doi.org/10.2478/jok-2021-0014.

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Abstract The article is dedicated to the modelling of operations & maintenance of vehicles scheduled to be operated. This specific feature is illustrative of the vehicle operation process in the military system. The presented model of the operation process of vehicles scheduled to be operated, using the Markov chain theory, contains indicators and measures essential for the vehicle operation, i.e. repair defectiveness, repair intensity, usage intensity and failure intensity. This model enables to quantify the impact of the introduced changes in operational practice or changes planned as a forecast, which is shown in the examples.

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Yakimov, Aleksandr Yu. "Reflections over the Statutory Basis of Road Traffic Related Activities." Administrative law and procedure 2 (February 11, 2021): 10–19. http://dx.doi.org/10.18572/2071-1166-2021-2-10-19.

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The article is devoted to the consideration of the legal framework of activities related to road traffic. It includes road activities, traffic management, production and sales of vehicles, state registration and technical inspection of vehicles, vehicle maintenance and repair, training of vehicle drivers and admission to driving vehicles, mandatory civil liability insurance of vehicle owners, road traffic, passenger and cargo transportation activities. Based on the analysis of individual provisions of the relevant legislative and other normative acts, the existing shortcomings of this legal regulation are identified and proposals for its improvement are formulated.

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Wang, Cheng, Tongtong Ji, Feng Mao, Zhenpo Wang, and Zhiheng Li. "Prognostics and Health Management System for Electric Vehicles with a Hierarchy Fusion Framework: Concepts, Architectures, and Methods." Advances in Civil Engineering 2021 (January 15, 2021): 1–11. http://dx.doi.org/10.1155/2021/6685900.

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The prognostics and health management (PHM) of electric vehicles is an important guarantee for their safety and long-term development. At present, there are few studies researching about life cycle PHM system of electric vehicles. In this paper, we first summarize the research progress and key methods of PHM. Then, we propose a three-level PHM system with a hierarchy fusion architecture for electric vehicles based on the structure, data source of them. In the PHM system, we introduce a database consisting of the factory data, real-time data, and detection data. The electric vehicle's factory parameters are used for determining the life curve of the electric vehicle and its components, the real-time data are used for predicting the remaining useful lifetime (RUL) of the electric vehicle and its components, and the detection data are used for fault diagnosis. This health management database is established to help make condition-based maintenance decisions for electric vehicles. In this way, a complete electric vehicle PHM system is formed, which can realize the whole-life-cycle life prediction and fault diagnosis of electric vehicles.

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McGehee, Daniel V., Thomas A. Dingus, and Avraham D. Horowitz. "An Experimental Field Test of Automotive Headway Maintenance/Collision Warning Visual Displays." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 38, no. 17 (October 1994): 1099–104. http://dx.doi.org/10.1177/154193129403801706.

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Motor vehicle crashes resulting from one vehicle striking the rear-end of another are one of the most common types of crashes involving two or more vehicles. The National Safety Council reported (Accident Facts, 1992) that there were approximately 11.3 million motor vehicle crashes in 1991 of which 2.7 million were rear-end crashes (about 23.8% of the total). These crashes accounted for 33% of all collisions involving two or more vehicles. To address the rear-end crash problem, a color LCD display designed to indicate safe following distances was mounted in the instrument panel of an 1990 Olds Toronado Troféo. The vehicle was also equipped with a laser range finder, forward view video camera, eye view camera, video multiplexer, and computer-controlled video cassette recorder. One hundred and eight drivers from three age groups participated in this field experiment in one of three display symbology conditions. Drivers were not explicitly instructed on how to use the headway displays. Data analyses indicated that (1) the drivers easily understood the displays, (2) those drivers who initially maintained unsafe headways increased their following distance when one of the display symbologies was used, (3) during events where changes in relative velocity (braking) took place, all three symbologies increased the overall headways, and (4) drivers preferred and understood, even better, displays that included graded headway/warning information.

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Zakharov, Nikolay Stepanovich, and Anna Nikolaevna Makarova. "Prompt adjustment of standard vehicle maintenance intervals." Innotrans, no. 1 (2016): 62–69. http://dx.doi.org/10.20291/2311-164x-2016-1-62-69.

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Jbili, S., A. Chelbi, M. Radhoui, and M. Kessentini. "Integrated strategy of Vehicle Routing and Maintenance." Reliability Engineering & System Safety 170 (February 2018): 202–14. http://dx.doi.org/10.1016/j.ress.2017.09.030.

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VINTR, Zdenek, and David VALIS. "OPTIMISING COMBAT TRACKED VEHICLE MAINTENANCE WITH RCM." Journal of Science of the Gen. Tadeusz Kosciuszko Military Academy of Land Forces 168, no. 2 (April 1, 2013): 116–28. http://dx.doi.org/10.5604/1731-8157.1115453.

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Knezevic, Jezdimir, Ljubisa Papic, and Branko Vasic. "Sources of fuzziness in vehicle maintenance management." Journal of Quality in Maintenance Engineering 3, no. 4 (December 1997): 281–88. http://dx.doi.org/10.1108/13552519710176890.

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Bair, Shyi-Tarn, Rachel J. Huang, and Kili C. Wang. "Can Vehicle Maintenance Records Predict Automobile Accidents?" Journal of Risk and Insurance 79, no. 2 (September 13, 2011): 567–84. http://dx.doi.org/10.1111/j.1539-6975.2011.01433.x.

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Brown, B. "Passenger rail vehicle depot-level electronic maintenance." IEEE Instrumentation & Measurement Magazine 11, no. 5 (October 2008): 8–11. http://dx.doi.org/10.1109/mim.2008.4630737.

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Rögnvaldsson, Thorsteinn, Sławomir Nowaczyk, Stefan Byttner, Rune Prytz, and Magnus Svensson. "Self-monitoring for maintenance of vehicle fleets." Data Mining and Knowledge Discovery 32, no. 2 (August 17, 2017): 344–84. http://dx.doi.org/10.1007/s10618-017-0538-6.

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Huertas, José I., Antonio E. Mogro, Alberto Mendoza, María E. Huertas, and Rolando Ibarra. "Assessment of the Reduction in Vehicles Emissions by Implementing Inspection and Maintenance Programs." International Journal of Environmental Research and Public Health 17, no. 13 (July 1, 2020): 4730. http://dx.doi.org/10.3390/ijerph17134730.

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To improve air quality in urban centers, vehicle Inspection and Maintenance (I/M) programs were created to identify highly polluting vehicles and force them to undergo mechanical maintenance. In this context, a methodology, based on a single measurement campaign using a Remote Sensing Device (RSD), is presented in this work to assess the reduction in vehicles emissions obtained from implementing I/M programs. As a case study, an RSD campaign was carried out in Mexico, specifically in Monterrey’s Metropolitan Area (MMA). Approximately 0.4% of the vehicles registered in this region were sampled under similar conditions to those found in I/M programs. The results obtained suggested that 39% of the vehicles would not comply with the current national regulations for circulating vehicles. Following a conservative scenario, the implementation of a vehicle I/M program in this urban center has the potential of reducing the current mass emissions of HC, CO and NO in approximately 69%, 42% and 28%, respectively.

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Zhu, Lian Jun, and Hua Cong. "The State Assessment of Armored Vehicle Engine Based on Analytic Hierarchy Process and Fuzzy Synthetic Evaluation." Advanced Materials Research 988 (July 2014): 606–10. http://dx.doi.org/10.4028/www.scientific.net/amr.988.606.

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The maintenance way of armored vehicle engine is hard time maintenance and breakdown maintenance in our army. So, the situation of lack or excess of maintenance is often existing in armored vehicle engine, and leading to potential safety hazard and wasting of resources. Condition based maintenance, which based on advanced detect and diagnosis technology, is a good way to solve the problems mentioned above. So, parameter tables which can completely reflect the state of armored vehicle engine is set up in this paper, and analytic hierarchy process and fuzzy synthetic evaluation method is used to scientific assess the state of vehicle engine. The computational process is demonstrated by analysis the experiment data of an armored vehicle engine. The work gives the foundation for condition based maintenance of armored vehicle engine.

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Kamińska, Michalina, Łukasz Rymaniak, Piotr Lijewski, Natalia Szymlet, Paweł Daszkiewicz, and Rafał Grzeszczyk. "Investigations of Exhaust Emissions from Rail Machinery during Track Maintenance Operations." Energies 14, no. 11 (May 27, 2021): 3141. http://dx.doi.org/10.3390/en14113141.

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The paper presents the investigations of exhaust emissions under actual operation of two rail vehicles: a track geometry vehicle and a clearance vehicle. The environmental assessment of this type of objects is difficult due to the necessity of adapting the measurement equipment and meeting the safety requirements during the tests (particularly regarding the distance from the overhead electrical lines). The authors have proposed and developed a unique research methodology, based on which a detailed exhaust emissions analysis (CO, HC, NOx, and PM) was carried out. The complex assessment included the unit and on-track exhaust emissions. In the analyses, the authors also included the operating conditions of the powertrains of the tested machinery. The obtained environmental indexes were referred to the homologation standards, according to which the vehicles were approved for operation. Due to the nature of operation of the tested vehicles, the authors carried out a comprehensive environmental assessment in the daily and annual approach as well as in the aspect of their operation as combined vehicles, which is a novel approach to the assessment of the environmental performance of this type of objects.

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Boilé, Maria, Preethi Narayanan, and Kaan Ozbay. "Impact of Buses on Highway Infrastructure: Case Study for New Jersey State." Transportation Research Record: Journal of the Transportation Research Board 1841, no. 1 (January 2003): 32–40. http://dx.doi.org/10.3141/1841-04.

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Buses are classified as heavy vehicles, and research has shown that heavy vehicles are mainly responsible for pavement damage and costs incurred to rectify the damage. Transit agencies must consider the pavement damage caused by a bus when choosing among different types of buses for procurement for certain corridors and deciding on the type of transit service for a corridor. Also, bus contribution to pavement damage should be considered in determining the appropriate amount of taxes and fees to be paid by this vehicle class. Currently, no tool exists to support such decisions. Pertinent literature was reviewed to determine the availability of methods for allocating roadway maintenance costs to buses. Two broad areas of highway impact–related literature, highway cost allocation studies and methods to estimate pavement deterioration resulting from vehicle–pavement interactions, were examined. A review of several state cost allocation studies showed that either equivalent single-axle loads (ESALs) or ESALS weighted by vehicle miles traveled were used to allocate pavement maintenance cost to various vehicle classes. Those studies, however, either accounted for buses by grouping them with other vehicles or did not account for them at all. Currently, no bus–pavement interaction models are available, although several mathematical and simulation models are available for truck-pavement interaction. Buses differ from trucks in load distribution, suspension, and travel characteristics. From results of the literature search a methodology, which uses industry standards and is minimal in data requirements, has been developed. With the use of data available in New Jersey, the application of this methodology showed that the maintenance cost attributable to buses in the state is about 2.4% of the total maintenance cost.

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Kisilowski, Jerzy, and Jarosław Zalewski. "Selected aspects of motor vehicle dynamics on the example of a power-off straight line maneuver." Archives of Transport 50, no. 2 (June 30, 2019): 57–76. http://dx.doi.org/10.5604/01.3001.0013.5647.

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In this paper the selected phenomena related to motor vehicle’s motion have been considered basing on a computer simulation. The vehicle performed a power-off straight line maneuver with different road conditions being included. All simulations have been performed in the MSC Adams/Car environment based on the available sports two-seater vehicle model, realizing the adopted maneuver at the instant speed of 100km/h. This enabled observation of the selected phenomena along the road long enough to relate them to different aspects of vehicle dynamics research. As for the randomly uneven road, almost similar and almost different profiles have been assumed for the left and right wheels of the vehicle. Additionally, two values of the coefficient determining the maximum amplitude of road irregularities have been selected: 0.3 for lower and 0.9 for higher irregularities, so the road surface conditions along with the flat road have been considered as one of the factors causing disturbances of the motor vehicle motion. Such research seems valuable from the point of view of road traffic safety and vehicle maintenance. This specific example is a presentation of the possible research on vehicle dynamics as well as a potential background for further considerations including different types of vehicles along with almost different road profiles for the left and right wheels of the given vehicle model. A power-off straight maneuver is not performed very often in normal road traffic. However, such test could be valuable when analyzing influence of the selected motor vehicle parameters, such as uneven loading, suspension characteristics, etc. on such maintenance features as stability, steerability and the influence of external disturbances acting on the moving vehicle. Further research provides different maneuvers and different simulation conditions.

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Jafarnejad, Ali, John Gambatese, and Salvador Hernandez. "Influence of Truck-Mounted Radar Speed Signs in Controlling Vehicle Speed for Mobile Maintenance Operations: Oregon Case Study." Transportation Research Record: Journal of the Transportation Research Board 2617, no. 1 (January 2017): 19–26. http://dx.doi.org/10.3141/2617-03.

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Radar speed signs (RSSs) are a measure for reducing traffic flow speeds through work zones. The influence of truck-mounted RSSs on vehicle speed was evaluated for mobile maintenance operations in two multilane maintenance work zones in Oregon. In each case study, two periods of testing were conducted: one with the RSS display turned on (treatment) and one without the RSS display turned on (control), and vehicle speeds were recorded. Descriptive statistics were used to summarize collected data, and a two-sample t-test was applied to each case study to compare the speed difference between control and treatment cases. The findings indicate that vehicle speeds are typically lower and that there is less variation in speeds between adjacent vehicles with the RSS turned on. RSSs are thus promising devices for controlling vehicle speed and making work zones safer for motorists and workers.

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Journal articles on the topic 'Vehicle maintenance'

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