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Journal articles on the topic 'Paper-making machinery'

Author: Grafiati

Published: 4 June 2021

Last updated: 27 July 2025

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1

Shmerkin, R. S., and E. V. Vasyutin. "Reducing the power capacity of paper- and board-making machinery." Chemical and Petroleum Engineering 21, no. 8 (1985): 390–91. http://dx.doi.org/10.1007/bf01149708.

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2

van Dijk, Michiel, and Adam Szirmai. "Industrial Policy and Technology Diffusion: Evidence from Paper Making Machinery in Indonesia." World Development 34, no. 12 (2006): 2137–52. http://dx.doi.org/10.1016/j.worlddev.2006.03.004.

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3

Liu, Juan. "Looking Green Manufacturing Processes in the Machinery Manufacturing." Advanced Materials Research 503-504 (April 2012): 111–14. http://dx.doi.org/10.4028/www.scientific.net/amr.503-504.111.

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In this paper, there are many system analysis and Summary about the green manufacturing processes, the development of profiles in machinery manufacturing, and prospects about the future research of the green manufacturing process.In real terms, green manufacturing processes in the mechanical manufacturing process is a series of decision-making process, which is important about the clear decision-making objectives of this paper, based on existing research of green manufacturing, this paper summed up the target system and decision-making model of the green manufacturing processes in the machiner

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4

Mogal, Shyam, Sudhanshu Deshmukh, and Sopan Talekar. "Fault Diagnosis of Rotating Machinery based on the Minutiae Algorithm." Engineering, Technology & Applied Science Research 13, no. 5 (2023): 11649–54. http://dx.doi.org/10.48084/etasr.6175.

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Rotary machinery plays an important role in industry. Combined faults can be observed in rotating machinery, making fault classification difficult. In this paper, the Minutiae algorithm is used to classify the faults from the frequency domain of a particular fault. This paper provides a fault classification technique based on image processing for fault analysis of rotating machinery, recognizing function extraction automatically. Minutiae algorithm, a rising method within the discipline of image processing for characteristic extraction, is utilized in this paper to classify specific faults fro

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Zhang, Fan, Jindi Bei, Qingzhe Shi, Ying Wang, and Ling Wu. "Research on Agricultural Machinery Services for the Purpose of Promoting Conservation Agriculture: An Evolutionary Game Analysis Involving Farmers, Agricultural Machinery Service Organizations and Governments." Agriculture 14, no. 8 (2024): 1383. http://dx.doi.org/10.3390/agriculture14081383.

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Agricultural machinery services are an important guaranteed way to promote Conservation Agriculture. It is of great significance to study how to encourage farmers to choose agricultural machinery services to promote the standard implementation of Conservation Agriculture technology. In order to promote the implementation of Conservation Agriculture and improve the supply of agricultural machinery services, this paper identifies the stakeholders of normative Conservation Agriculture technology adoption behavior and the relationship between agricultural machinery service organizations, farmers a

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Wu, Tao, Paul Brereton, and Jacqueline Patel. "How to make sell and buy quiet a reality in Britain." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 6 (2021): 378–87. http://dx.doi.org/10.3397/in-2021-1448.

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Hearing loss caused by excessive exposure to noise at work remains reportedly widespread. Purchase of quieter machinery is an efficient method of reducing both occupational noise exposure and the need to manage risk from noise, but it requires reliable noise information. Machinery supplied in Britain must have noise risk minimized and, where noise continues to present a risk, be supplied with data making clear the potential for noise risk, enabling identification of lower noise models and indicating methods of controlling that risk. In 2012 a pre-market surveillance exercise reported 80% non-c

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Zhao, Jiamuyang, Shuxiang Fan, Baohua Zhang, Aichen Wang, Liyuan Zhang, and Qingzhen Zhu. "Research Status and Development Trends of Deep Reinforcement Learning in the Intelligent Transformation of Agricultural Machinery." Agriculture 15, no. 11 (2025): 1223. https://doi.org/10.3390/agriculture15111223.

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With the acceleration of agricultural intelligent transformation, deep reinforcement learning (DRL), leveraging its adaptive perception and decision-making capabilities in complex environments, has emerged as a pivotal technology in advancing the intelligent upgrade of agricultural machinery and equipment. For example, in UAV path optimization, DRL can help UAVs plan more efficient flight paths to cover more areas in less time. To enhance the systematicity and credibility of this review, this paper systematically examines the application status, key issues, and development trends of DRL in agr

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Gallizioli, Giorgio. "Better Regulation Impact on EU Law-Making." Teisė 114 (April 5, 2020): 169–83. http://dx.doi.org/10.15388/teise.2020.114.13.

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This paper aims to analyse these new rules introduced by the EC. The purpose is to evaluate whether or not these changes have altered the original institutional design significantly and to assess its impact on the “Community method”, in other words on the EC prerogative to initiate the law-making machinery.

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9

Himmat Singh. "IoT Based Predictive Maintenance in Industrial Machinery." International Journal for Modern Trends in Science and Technology 11, no. 07 (2025): 98–101. https://doi.org/10.46501/ijmtst.016.v11.i07.

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The adoption of the Internet of Things (IoT) in industrial settings has revolutionized predictive maintenance, enabling real-time monitoring and data-driven decision-making. This paper explores an IoT-based predictive maintenance framework for industrial machinery, leveraging sensor networks, cloud computing, and machine learning algorithms to detect anomalies and predict failures before they occur. By integrating condition monitoring sensors with IoT-enabled analytics, the proposed system enhances operational efficiency, reduces downtime, and minimizes maintenance costs. The study presents a

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Gerasimov, V., V. Ignatov, K. Sovin, and S. Buryakov. "Processes of waste management of disposed agricultural machinery in AIC." Sel'skohozjajstvennaja tehnika: obsluzhivanie i remont (Agricultural Machinery: Service and Repair), no. 2 (February 1, 2020): 46–53. http://dx.doi.org/10.33920/sel-10-2002-07.

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The paper reflects the nature of the main technological measures that are carried out at specialized enterprises (sites) for processing waste disposal of self-propelled machines in the agro-industrial complex. Waste generation occurs at all stages of the life cycle. The product life cycle includes a number of stages, each of which involves the use of specific types of work, in the course of which there are production and consumption waste (hereinafter — waste). Considering the full life cycle of the machine, it should be understood that the production stage of the machine can last for a long t

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11

Popescu, Daniela, Adela-Ioana Borzan, and Doru-Laurean Băldean. "Development of an Automated System for Fuel Tank Level Checking and Machinery Location Management to Optimize Remote Accessibility and Mobile Tracking." Proceedings 63, no. 1 (2020): 17. http://dx.doi.org/10.3390/proceedings2020063017.

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The present article shows the most significant steps to be taken in the process of the development of an automated system for fuel tank level monitoring and machinery location checking to optimize accessibility and mobile tracking. Fuel or energy consumption is converted with money spending and machinery in operation during different tasks. The maintenance and service costs add up to the final price of the product making it less attractive if the customer must pay more for each acquired unit of produce. Thus, optimization is required in the production system to lower the costs of energy and op

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12

Tan, Li. "Innovation Application Research on the Computer Technology in Machinery Manufacturing." Applied Mechanics and Materials 273 (January 2013): 8–12. http://dx.doi.org/10.4028/www.scientific.net/amm.273.8.

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With the development of society, people's living standard is increasing, and various aspects of the personalized demand change stronger. The machinery manufacturing industry faces the severe challenge although it has already penetrated into all walks of life and has become the foundation of industry. The emergence of the computer leads the manufacturing industry into the era of information. It is used as a new tool to enter the factory, making the manufacturing industry undergo tremendous changes, Based on the analysis of the computer's application in mechanical manufacturing, this paper explo

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13

Kriščiukaitienė, Irena, Virginia Namiotko, and Rolandas Kripaitis. "The evaluation of the impact of support on Lithuanian farms investments." Management Theory and Studies for Rural Business and Infrastructure Development 37, no. 3 (2015): 399–405. http://dx.doi.org/10.15544/mts.2015.34.

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The paper aims to evaluate the impact of support on Lithuanian farms investments. Logistic regression, also called a logit model, was used to determine the probability of investing. The regression was estimated on cross-sectional data set of Lithuanian family farms participating in the Farm Accountancy Data Network. It was specified for investments in machinery and equipment. The research showed that support encourages investments in machinery and equipment. However, scenario analysis revealed that the impact of different support scenarios on the probability of investing is relatively small. I

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Kumar, Rajaram Pradeep, Bhanu Sharma, and Shivam Verma. "Automated Machinery in Modern Agriculture." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 11, no. 1 (2020): 1080–84. http://dx.doi.org/10.61841/turcomat.v11i1.14403.

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The advent of automated equipment in cutting-edge agriculture has ushered in a brand-new generation of technological transformation, revolutionizing traditional farming practices. This research paper delves into the profound impact of automatic machinery on the rural landscape, scrutinizing its implications for performance, sustainability, and usual productivity. Against the backdrop of a growing international population and the vital to beautify meals production, this study investigates the position of superior technologies together with robotics, synthetic intelligence, and precision agricul

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Hu, Hao, Xiao Feng, Shi Qiu, Dan Yang, Zhong Kai Chen, and Xiang Li Wang. "Dynamic Optimization Design of Sand Milling Collection Machinery Suspensions." Applied Mechanics and Materials 536-537 (April 2014): 1314–20. http://dx.doi.org/10.4028/www.scientific.net/amm.536-537.1314.

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Sand milling collection machinery is a kind of large machinery to collect the surface soil containing ores. The suspension system of milling machines directly affects the ride comfort and driving safety for the operator; for this end, the design of suspension system has been optimized so as to satisfy the requirements of reliability and comfort by making the console and operator set at the maximum station and minimum absolute acceleration and the amplitude within the range. This paper first established a suspension system model of milling collection machines and set up the state equation of su

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16

Zhang, Weirui, Zeru Sun, Dongxu Lv, Yanfei Zuo, Haihui Wang, and Rui Zhang. "A Time Series Prediction-Based Method for Rotating Machinery Detection and Severity Assessment." Aerospace 11, no. 7 (2024): 537. http://dx.doi.org/10.3390/aerospace11070537.

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Monitoring the condition of rotating machinery is critical in aerospace applications like aircraft engines and helicopter rotors. Faults in these components can lead to catastrophic outcomes, making early detection essential. This paper proposes a novel approach using vibration signals and time series prediction methods for fault detection in rotating aerospace machinery. By extracting relevant features from vibration signals and using prediction models, fault severity can be effectively quantified. Our experimental results show that the proposed method has potential in early fault detection a

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17

Wang, C. C., Y. Kang, and T. Y. Tu. "Machinery Fault Detection Using the Wavelet Order Spectrum." Advanced Materials Research 488-489 (March 2012): 1631–35. http://dx.doi.org/10.4028/www.scientific.net/amr.488-489.1631.

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The non-stationary signal features are averaged in correspondence with the length of analysis time, thus making it impossible to highlight the signal characteristics and caused the difficulties in identifying or diagnosing faults. In this paper, the wavelet order spectrum method using a combination of wavelet transform (WT) and speed frequency ordering. The feature order does not change with variations in speed, thus can effectively identify non-stationary faults in mechanical equipment. In addition, principal components analysis (PCA) is used to extract the main features of the wavelet order

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18

Juguang, Fang. "Innovative Design of a Whole-Stem Sugarcane Harveste." Journal of Energy Research and Reviews 16, no. 9 (2024): 1–12. http://dx.doi.org/10.9734/jenrr/2024/v16i9368.

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The small whole-stem sugarcane harvester is a type of sugarcane harvesting machinery designed for individual farmers. It ensures a complete cutting plane during the harvesting process, resulting in low sugarcane head breakage and reduced sugar loss. The sugarcane harvesters currently developed mainly come in two forms: whole- stem and cut-stem. The cut-stem harvesters are larger in size and more expensive, making them unsuitable for the hilly terrain and small-scale cultivation in China. The whole-stem harvesters have poor adjustability of the cutting platform, leading to uneven stubble and hi

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19

Yang, Haotian, Shuming Xiong, Samuel Akwasi Frimpong, and Mingzheng Zhang. "A Consortium Blockchain-Based Agricultural Machinery Scheduling System." Sensors 20, no. 9 (2020): 2643. http://dx.doi.org/10.3390/s20092643.

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The introduction of a consortium blockchain-based agricultural machinery scheduling system will help improve the transparency and efficiency of the data flow within the sector. Currently, the traditional agricultural machinery centralized scheduling systems suffer when there is a failure of the single point control system, and it also comes with high cost managing with little transparency, not leaving out the wastage of resources. This paper proposes a consortium blockchain-based agricultural machinery scheduling system for solving the problems of single point of failure, high-cost, low transp

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20

Wu, Juan. "Linear Programming Solving the Optimization Question of Production Plan." Advanced Materials Research 179-180 (January 2011): 1162–66. http://dx.doi.org/10.4028/www.scientific.net/amr.179-180.1162.

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This paper mainly introduced a model of the production plan for a paper manufacture company. Primal problem of the production plan lies in determines the production quantity of different variety paper by different paper-making machinery. Considered the production cost of the paper and the estimate sales volume and so on, taken the profit maximization of the paper manufacture corporation as the goal, this paper used general mathematical model system to establish the linear programming model to optimize the profit of the paper manufacture company, and at last, several variables can be got throug

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21

Teasdale, Rebecca M. "“It’s a lab full of art machinery”: implications of women’s experiences, values and visions of success for makerspace evaluation." Information and Learning Sciences 12, no. 3/4 (2021): 223–45. http://dx.doi.org/10.1108/ils-08-2020-0177.

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Purpose Evaluation of public library makerspaces traditionally examines achievement of library goals, which reflect leaders’ and funders’ values. Understanding makers’ experiences and perspectives may help evaluators frame their inquiry to reflect community values, test assumptions about makers and support democratic and equity-focused aims. This paper aims to inform how evaluations of public library makerspaces are framed to address the experiences, values and visions for success of adult women, a group that is often marginalized in making and makerspaces. Design/methodology/approach Informed

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22

Kumar, Vinod. "Organization Structure of Planning Department in Himachal Pradesh and Hamirpur District." Journal of Research in Social Science and Humanities 3, no. 1 (2024): 1–9. http://dx.doi.org/10.56397/jrssh.2024.01.01.

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Planning in India has its history since pre independence days. Since 1950-51, India has been engaged in the world’s largest and most comprehensive experiment in democratic planning. Planning on such a gigantic scale is obviously more than an economic process. It is a total national effort and commitment which includes political leaders at all levels, the administration and the people of the country, as well as those specifically entrusted with the task of economic planning and development. In Himachal Pradesh, the planning machinery was set up in 1972 under the centrally sponsored scheme of st

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23

Grešová, Elena, and Jozef Svetlík. "Mathematical Modeling of the Manufacturing Sector’s Dominant Part as a Base for Automation." Applied Sciences 11, no. 7 (2021): 3295. http://dx.doi.org/10.3390/app11073295.

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The current great expansion of automation and robotics affects a multiplicity of various fields. A prominent example is industry, where the different manufacturing processes and technologies embrace a certain level of automation and robotics. Thus, the use of robotics and automation implementation is part of a rapidly rising trend in industry. The presented paper deals with the manufacturing segment in the context of automation. The main subject is data analysis, with our own subsequent model building and final realization of the prediction corresponding to the machinery and electrical machine

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24

Frunza, S. "Directions of efective system of managment decisions making on the example of agricultural machinery industry enterprise." Galic'kij ekonomičnij visnik 69, no. 2 (2021): 129–36. http://dx.doi.org/10.33108/galicianvisnyk_tntu2021.02.129.

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In Ukraine, taking into account the constant changes in the economy and policy, the enterprises need to improve management decision-making systems for efficient and well-established production process. Thus it is especially important for the state economy to establish a system of management of the machine-building industry in the field of agricultural production as they: provide the main share of revenues to GDP in Ukraine; are the main source for ensuring the food and agricultural products development. The objective of the paper is to investigate more thoroughly the theoretical foundations of

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Formoso, Carlos Torres, Lucila Sommer, Lauri Koskela, and Eduardo Luís Isatto. "The identification and analysis of making-do waste: insights from two Brazilian construction sites." Ambiente Construído 17, no. 3 (2017): 183–97. http://dx.doi.org/10.1590/s1678-86212017000300170.

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Abstract Making-do has been pointed out as an important category of waste in the construction industry. It refers to a situation in which a task starts or continues without having available all the inputs required for its completion, such as materials, machinery, tools, personnel, external conditions, and information. By contrast, the literature points out that improvisation is a ubiquitous human practice even in highly structured business organizations, and plays an important role when rules and methods fail. The aim of this paper is to provide some insights on the nature of making-do as a ty

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Vasilescu, Mircea Dorin, Tiberiu Aurel Vasilescu, and Ioan Vasile Groza. "Economical Considerations over 3D Printing Components for Abrasive Water Jet Machinery." Advanced Materials Research 1146 (April 2018): 84–91. http://dx.doi.org/10.4028/www.scientific.net/amr.1146.84.

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The purpose of this research is to analyse the technological and economical aspects of making 3D print pieces to produce functional parts and subassemblies for abrasive waterjet processing equipment. The authors of this paper intend to make a clarification on the technological and economic approaches of material that can be used to make such a reference in terms of economic efficiency and technology. In the paper are analysed all the aspects involved in generating the necessary elements on the mechanical side of them by FDM (Fused Deposition Modelling). The paper is structured in a five chapte

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Gao, Xin, Shaojia Yuan, Jiazheng Zhu, and Yifei Zhao. "Deep Convolutional Neural Network enabled unmanned agricultural machine visual navigation system: architecture design, model optimization and empirical evaluation." Transactions on Computer Science and Intelligent Systems Research 5 (August 12, 2024): 1705–20. http://dx.doi.org/10.62051/4nanch44.

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In response to the pressing need for intelligent navigation technology in modern agriculture, this paper introduces a visual navigation system for unmanned agricultural machinery based on deep convolutional neural networks (CNNs). The system integrates the strong representational power of deep learning with rich visual information to facilitate high-precision, adaptive autonomous navigation in complex agricultural environments. Key innovations encompass: (1) the development of a customized deep CNN model proficient in extracting critical features from agricultural images, such as obstacles, la

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Janová, Jitka, and M. Lindnerová. "The optimization model of the logging machinery usage in forestry practice." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 57, no. 6 (2009): 105–12. http://dx.doi.org/10.11118/actaun200957060105.

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The decision support systems commonly used in industry and economy managerial practice for optimizing the processes are based on algoritmization of the typical decision problems. In Czech forestry business, there is a lack of developed decision support systems, which could be easily used in daily practice. This stems from the fact, that the application of optimization methods is less successful in forestry decision making than in industry or economy due to inherent complexity of the forestry decision problems. There is worldwide ongoing research on optimization models applicable in forestry de

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Roquet, Pedro, Gustavo Raush, Luis Javier Berne, Pedro-Javier Gamez-Montero, and Esteban Codina. "Energy Key Performance Indicators for Mobile Machinery." Energies 15, no. 4 (2022): 1364. http://dx.doi.org/10.3390/en15041364.

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Mobile machinery manufacturers must face and deal with reducing fuel consumption, rising prices, and environmental pollution. The development of methods to evaluate the efficiency and effectiveness of the energy performance of hydraulically actuated systems has become a priority for researchers and OEMs, Original Equipment Manufacturers. In this paper, a new methodology that is based on Key Performance Indicators, KPI, is proposed with different goals: (i) to evaluate the energy performance and the monitoring of its evolution in the different stages of its life cycle (design, commissioning, op

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30

Du, Shicheng. "Analysis of the application of intelligent CNC technology in machinery manufacturing." Journal of Physics: Conference Series 2649, no. 1 (2023): 012010. http://dx.doi.org/10.1088/1742-6596/2649/1/012010.

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Abstract The application of intelligent computer numerical control(CNC) technology enjoys a key strategic position in various countries, and countries that attach importance to the development of CNC machine tools and their fields of innovation branches generally have a solid foundation of intelligent manufacturing and strong production capacity. Combined with big data and artificial intelligence, CNC technology has become an important cornerstone of smart manufacturing. In order to achieve the goal of sustainable development, the machinery manufacturing industry should not only improve produc

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31

Fofou, Raoul Fonkoua, Zhigang Jiang, Qingshan Gong, and Yihua Yang. "A Decision-Making Model for Remanufacturing Facility Location in Underdeveloped Countries: A Capacitated Facility Location Problem Approach." Sustainability 14, no. 22 (2022): 15204. http://dx.doi.org/10.3390/su142215204.

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Underdeveloped countries are gradually opening remanufacturing facilities to recover end-of-life products (EOL). Locating these facilities in underdeveloped countries is quite challenging because many factors related to the environment, economics, and ethics have to be considered. This paper proposes a decision-making model for locating remanufacturing facilities, a critical factor in implementing remanufacturing in underdeveloped countries. Our principal objective is to obtain the capacity, number, and geographical locations for newly established remanufacturing facilities using a Capacitated

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Lysak, Serhii, Maksym Balaka, Vladyslav Riepin, Volodymyr Yahodynets, and Artem Matsybura. "Feasibility study of reach stacker model choice." Gіrnichі, budіvelnі, dorozhnі ta melіorativnі mashini, no. 105 (May 9, 2025): 45–50. https://doi.org/10.32347/gbdmm.2025.105.0303.

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The paper considers an approach to choosing the optimal reach stacker model for container terminals based on engineering-and-economic performance. The technical characteristics of models from leading global manufacturers of handling machinery are analyzed. A methodology to determine the technical and operational productivity of reach stackers in the absence of complete data from the manufacturer is proposed. Five key efficiency criteria are identified: specific power, energy saturation, economic efficiency, cost power and cost mass. The most effective model choice is justified based on the ra

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Castellini, Paolo, Milena Martarelli, and Enrico Primo Tomasini. "Laser Doppler Vibrometry for Structural Dynamic Characterization of Rotating Machinery." Applied Mechanics and Materials 415 (September 2013): 538–43. http://dx.doi.org/10.4028/www.scientific.net/amm.415.538.

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Laser Doppler Vibrometry (LDV) is a well established technique able to accurately measure vibration velocity of any kind of structure in remote, i.e. non-intrusive way, this allowing to overcome the problem of mass loading, typical of contact sensors as accelerometers and strain-gauges, which has strong influence in case of lightweight structures. Moreover, the possibility of driving automatically the laser beam, by means of moving mirrors controlled with galvanometer servo-actuators, permits to perform scanning measurements at different locations with high spatial resolution and reduced testi

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Niculescu, Dan Florin, Adrian Ghionea, and Adrian Olaru. "Diagnosis and Predictive Maintenance of Machinery and Equipment, by Measuring Vibration." Applied Mechanics and Materials 325-326 (June 2013): 186–91. http://dx.doi.org/10.4028/www.scientific.net/amm.325-326.186.

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The paper presents results of analysis of the dynamic behavior of rotating mechanisms and couplings of the main structure of a kinematic chain sharpening machine precision Cugir normal UAS 200. The ultimate goal is to establish diagnostic and maintenance program the car UAS 200. Diagnosis by measurement of vibration and noise, allow a company to monitor faults and machines and equipment, through a system of preventive maintenance, predictive. Diagnosis automatic machinery and equipment is made in order to ensure a higher reliability of these and how to obtain a more extended life cycle without

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Mironov, D. A., D. V. Popov, R. K. Rasulov, and A. K. Lamm. "Software for developing digital twins of agricultural machinery working bodies." Agricultural Machinery and Technologies 18, no. 2 (2024): 33–39. http://dx.doi.org/10.22314/2073-7599-2024-18-2-33-39.

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Digital twins, as virtual models of physical entities, are becoming vital in modeling various objects and phenomena in the modern world. In the agricultural sector, their role is particularly crucial, since digital twins facilitate not only the analysis of soil, climate, yield, and plant data but also the forecast of changes in these parameters. Accumulating and analysing vast amounts of information, digital twins help optimize the use of resources such as water, fertilizers, and pesticides, which in turn leads to increased yields and reduced costs. Moreover, digital twins enable the automatio

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Baldasso, Elg, Haglind, and Baldi. "Comparative Analysis of Linear and Non-Linear Programming Techniques for the Optimization of Ship-Machinery Systems." Journal of Marine Science and Engineering 7, no. 11 (2019): 403. http://dx.doi.org/10.3390/jmse7110403.

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The selection of a proper machinery system is one of the primary decisions to be taken during the ship-design phase. Nonetheless, this selection is made challenging by the presence of a variety of alternatives, and by the limited data availability at the early stages of the design phase. An optimization framework is presented in this paper, supporting decision making at the earliest stages of the ship-design process. The framework is suitable to perform the screening and the selection of optimal machinery configurations for a predefined ship operational profile, and it includes both linear and

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Ma, Lun, Jian She Kang, and Chun Yu Zhao. "Research on Condition Monitoring of Bearing Health Using Vibration Data." Applied Mechanics and Materials 226-228 (November 2012): 340–44. http://dx.doi.org/10.4028/www.scientific.net/amm.226-228.340.

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A reliable condition monitoring system is very useful in a wide range of industries to detect the occurrence of incipient defects so as to prevent machinery performance degradation, malfunction and sudden failure. Among the rotating machinery, many mechanical problems are attributed due to bearing failures. So implementing condition monitoring for bearing is critically needed. Considering that most research for condition monitoring only focus on detecting the existing fault, this paper add degradation tendency prognostics into the condition monitoring process. The kernel of bearing condition m

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Makumbe, Ruwadzano P. "An alternative conceptualization of indigenous rights in Africa under the international human rights law framework." Deusto Journal of Human Rights, no. 3 (December 11, 2018): 143. http://dx.doi.org/10.18543/djhr-3-2018pp143-172.

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<p>This article is a practice-based elucidation of how indigenous rights can be securely protected and implemented in the broader human rights discourse. The concept of indigeneity is contested in many African countries with the primary question being: Who is indigenous? The ‘politics of recognition’ have stalled the work of the African indigenous rights movement thus far and this paper builds upon the discourse on Indigenous rights, making a proposition towards an effective machinery to facilitate their protection. Therefore, the focus is to construct a different perspective which empha

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Guan, Xiqiao, Yunlong Yu, and Penglin Sui. "Application research of machine manufacturing process monitoring based on neural network." Journal of Physics: Conference Series 2665, no. 1 (2023): 012026. http://dx.doi.org/10.1088/1742-6596/2665/1/012026.

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Abstract In the process of mechanical manufacturing, parameters such as geometry, size and surface quality are important factors affecting product quality. The existing technology makes it difficult to conduct product monitoring and data monitoring during machine manufacturing. At the same time, the uncertainty of the manufacturing process also brings great challenges. Therefore, it is necessary to design corresponding monitoring schemes according to different situations. Therefore, neural network based machinery manufacturing process monitoring technology is of great significance. The neural

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Gao, Jin Ji, Wei Min Wang, Li Dong He, and Hong Xu. "Fault Damage Power and Self-Recovery System of Machinery." Key Engineering Materials 413-414 (June 2009): 3–14. http://dx.doi.org/10.4028/www.scientific.net/kem.413-414.3.

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Animals possess the function of self-recovery for adapting the change in their living conditions. Can machinery, by bionic design, just like animals, also possess the function of self-recovery for making itself free of fault, or for eliminating fault automatically during operation? In this paper, a new theory of Engineering Self-recovery is discussed, which could provide theoretical basis and new methodology for creating a new generation of machinery with fault self-recovery function. The engineering self-recovery theory is different from engineering cybernetics. Engineering cybernetics endows

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Kataev, Y. V., V. S. Gerasimov, I. A. Tishaninov, and E. A. Gradov. "RESOURCE-SAVING SYSTEM OF RECYCLING OF AGRICULTURAL MACHINERY AS ONE OF THE MOST IMPORTANT DIRECTIONS FOR STRENGTHENING THE TECHNICAL POTENTIAL OF THE AGRO-INDUSTRIAL COMPLEX." Tekhnicheskiy servis mashin, no. 2 (August 11, 2023): 75–82. http://dx.doi.org/10.22314/2618-8287-2023-61-2-75-82.

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In this paper, the issues of the need to create an effective system for the disposal of agricultural machinery have been considered, since at present a significant amount of obsolete agricultural machinery, including energy-saturated, is being operated in the agro-industrial complex, which must either be restored or disposed of. (Research purpose) The research purpose is identifying the necessity and expediency of creating a system for the disposal of agricultural machinery, justifying the structure of financial resources for its creation, as well as considering the issue of the limiting condi

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Parkes, David, and Ariel Procaccia. "Dynamic Social Choice with Evolving Preferences." Proceedings of the AAAI Conference on Artificial Intelligence 27, no. 1 (2013): 767–73. http://dx.doi.org/10.1609/aaai.v27i1.8570.

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Social choice theory provides insights into a variety of collective decision making settings, but nowadays some of its tenets are challenged by internet environments, which call for dynamic decision making under constantly changing preferences. In this paper we model the problem via Markov decision processes (MDP), where the states of the MDP coincide with preference profiles and a (deterministic, stationary) policy corresponds to a social choice function. We can therefore employ the axioms studied in the social choice literature as guidelines in the design of socially desirable policies. We p

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Nhema, Alfred G. "Public Administration and the Development of Africa: A Critical Assessment." Journal of Public Administration and Governance 6, no. 1 (2016): 6. http://dx.doi.org/10.5296/jpag.v6i1.8886.

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This article explores Africa’s development challenges from a public administration service delivery capacity perspective. The paper contends that African countries lack a well-coordinated central policy making machinery of government which has the capacity to set major development objectives of government and ensure service delivery consistency. The paper further notes that an efficient public sector is a prerequisite to any meaningful development in Africa. Public bureaucracies are viewed as the vehicles through which the struggle toward development and national building can be achieved. The

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Wang, Fei, Rui Juan Chi, Zhong Xiang Zhu, and En Rong Mao. "Research of the Wheat Modeling Problems Based on Creator." Applied Mechanics and Materials 551 (May 2014): 696–701. http://dx.doi.org/10.4028/www.scientific.net/amm.551.696.

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In order to making the virtual experiment results close to or equivalent to the real environmental effects, in addition to model realistic scenes, also need more accurate dynamic model. In this paper, based on research of hydraulic steering paddy and wheat combine harvester, first, used three-dimensional geometric model transformation technology to convert Pro/E model to a identified geometric model in VP virtual reality systems, second, used classical dynamics equations to build the mathematical model of this vehicle dynamics, finally, used VC++ programs to connect this two models, constructe

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Ikuobase, Emovon. "An Improved Method Based On Delay Time Model and Compromise Programming for Analysing Maintenance Interval of an Auto Transport Industry Machinery." J. of Advancement in Engineering and Technology 6, no. 3 (2018): 04. https://doi.org/10.5281/zenodo.1250232.

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The purpose of carrying out inspection on vehicle machinery parts such as engine and gearbox system is to establish their true state and in the process of performing these activities, defects are identified and corrective actions implemented in order to avoid catastrophic failure. The main challenge of inspection is the evaluation of the optimum interval for performing the task. The commonly used technique for determining the interval is the delay time concept which is either applied singly or in conjunction with other tools such as Multi-Criteria Decision Making (MCDM) techniques. However, mo

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Yin, Jing, Yifan Fang, Hengxi Zhang, and Tingting Wang. "Pricing and Coordination for the Leasing and Recycling of Construction Machinery in a Supply Chain Based on Industrial Internet Platform." Buildings 13, no. 7 (2023): 1685. http://dx.doi.org/10.3390/buildings13071685.

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Leasing and recycling are important methods for developing the low-carbon sustainability of the construction machinery industry. However, there are some dilemmas caused by the extreme limitations of product service life. There has been little research on construction machinery leasing thus far and a lack of description of its unique characteristics in previous models. Focusing on the problem of pricing and coordination, a two-stage model of a leasing closed-loop supply chain based on the practical application of an Industrial Internet platform was proposed. Under centralized and decentralized

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Rosli, Muhammad Firdaus, Lim Meng Hee, and M. Salman Leong. "Integration of Artificial Intelligence into Dempster Shafer Theory: A Review on Decision Making in Condition Monitoring." Applied Mechanics and Materials 773-774 (July 2015): 154–57. http://dx.doi.org/10.4028/www.scientific.net/amm.773-774.154.

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Machines are the heart of most industries. By ensuring the health of machines, one could easily increase the company revenue and eliminates any safety threat related to machinery catastrophic failures. In condition monitoring (CM), questions often arise during decision making time whether the machine is still safe to run or not? Traditional CM approach depends heavily on human interpretation of results whereby decision is made solely based on the individual experience and knowledge about the machines. The advent of artificial intelligence (AI) and automated ways for decision making in CM provi

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Inyang, Udeme Ibanga, Ivan Petrunin, and Ian Jennions. "Diagnosis of Multiple Faults in Rotating Machinery Using Ensemble Learning." Sensors 23, no. 2 (2023): 1005. http://dx.doi.org/10.3390/s23021005.

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Fault diagnosis of rotating machines is an important task to prevent machinery downtime, and provide verifiable support for condition-based maintenance (CBM) decision-making. Deep learning-enabled fault diagnosis operations have become increasingly popular because features are extracted and selected automatically. However, it is challenging for these models to give superior results with rotating machine components of different scales, single and multiple faults across different rotating components, diverse operating speeds, and diverse load conditions. To address these challenges, this paper p

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Vidaković, Držislav, Zlatko Lacković, and Milan Ivanović. "MAINTENANCE AND EFFECT OF MACHINES WORKED ON CONSTRUCTION SITE." Mašinstvo 14, no. 2 (2017): 91–104. https://doi.org/10.62456/jmem.2017.02.091.

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&lt;p style=&quot;text-align: justify;&quot;&gt;The paper explained meaning and importance of the impact of construction machinery due to the specifics of their use. Describes how organization of maintenance activities of machines on construction sites and points to the impact this has on their performance. Accent was placed on possibilities of improving existing practice of building contractors and emphasized need for monitoring of achieved results, development and continuous updating of internal databases which are basis for planning and decision-making on&lt;br /&gt;

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Bian, Wentao, Yanyi Liu, and Yin Wu. "A Bluetooth-Based Automated Agricultural Machinery Positioning System." Electronics 13, no. 24 (2024): 4902. https://doi.org/10.3390/electronics13244902.

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With the rapid advancement of technology, precision agriculture, as a modern agricultural production model, has seen significant progress in recent years. Its widespread adoption is gradually transforming traditional farming methods, providing strong support for the modernization of global agriculture. In particular, the application of positioning technology plays a crucial role in precision agriculture. This paper focuses on an automated agricultural machinery positioning system based on Bluetooth technology. The system uses Bluetooth at the 2.4 GHz frequency for transmission, processing Cons

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