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Journal articles on the topic 'Mean Time between Failures (MTBF)'

Author: Grafiati

Published: 3 June 2025

Last updated: 1 August 2025

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1

Dai, Yi, Xue Zhi Yang, and Ning Ji. "Distribution of Time Between Failures of Numerical Control System Based on Censored Data." Advanced Materials Research 544 (June 2012): 55–60. http://dx.doi.org/10.4028/www.scientific.net/amr.544.55.

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The calculation of mean time between failures (MTBF) is of significance in reliability engineering. The precondition before calculation of MTBF is to make sure what failure model the numerical control (NC) system follows. For different distributions, the corresponding calculation methods of MTBF are always different. Undertaken a 2 year period of timing censored test with replacement of NC lathe, authors apply a type I censored likelihood function to make the distribution fitting of time between failures of NC system. The tests of goodness-of-fit applying Hollander’s method demonstrate that th

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Patil, Prof Sachin N. "Estimation of Mean Time between Failures of a Two Tandem Mill of a Sugar Plant." International Journal for Research in Applied Science and Engineering Technology 10, no. 1 (2022): 474–78. http://dx.doi.org/10.22214/ijraset.2022.39823.

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Abstract: When minutes of down-time can negatively impact the bottom line of a business, it is crucial that the physical infrastructure supporting be reliable. The equipment reliability can be achieved with a solid understanding of mean time between failures. Mean time between failures (MTBF) has been used for years as a basis for various maintenance decisions supported by various methods and procedures for lifecycle predictions. To quantifying a maintainable system or reliability we can use MTBF. For developing the mean time between failures model we can use make use of Poisson distribution,

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O.C.Onuigbo, and R.O. Edokpia. "Availability Assessment of Three 11kv Feeders Benin City, Edo State, Nigeria." Journal of Energy Technology and Environment 5, no. 2 (2023): 32–39. https://doi.org/10.5281/zenodo.8018218.

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<em>Nigeria’s power supply has been experiencing incessant interruptions due to failures in the distribution system. The availability assessment of power system is a necessary criterion in meeting the customer’s demand. In this study, the availability of three 11kv feeder in Benin Electricity Distribution Company (BEDC), Edo State Nigeria were evaluated. These was carried out by collating the failure data which includes; time of failure, time outage was restored, outage duration, causes of failure, and load interruption from the Injection substations G.R.A Injection substations for

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Vílchez Torres, Mylena Karen, Jimy Frank Oblitas Cruz, and Wilson Castro Silupu. "Optimization of the replacement time for critical repairable components." DYNA 87, no. 214 (2020): 93–99. http://dx.doi.org/10.15446/dyna.v87n214.84509.

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Equipment-intensive industries must manage critical components due to their impact on the availability and high inventory carrying costs. In this context, this study seeks to assess mean times between interventions (MTBI) and mean times between failures (MTBF) to determine optimal replacement times for critical repairable components used in six EX5500 hydraulic excavators operating at an open-pit mining site. For these purposes, the authors compared a base policy using the MTBF values provided by the equipment manufacturer, against the proposed policy using the MTBI values obtained from equipm

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Suleiman, K., and U.A. Ali. "Reliability Analysis of Distribution Transformer A Case Study of Gwiwa Business Unit, Sokoto." Greener Journal of Science, Engineering and Technological Research 3, no. 3 (2013): 88–92. https://doi.org/10.15580/gjsetr.2013.3.112212288.

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In this paper, the reliability of 11/0.415KV town feeder transformers comprising four sub-feeders (Town, GRA, Water Works and industrial) located at Gwiwa Business Unit, Sokoto were studied. The cost implications of failed transformers were also studied, using the data collected from Central Bank of Nigeria (CBN, 2009). It was found that the total amount lost was N37,997,732.40, N16,522,245.88, N20,934,463.70 and N25,559,391.64 for Town, GRA, Water Works and Industrial respectively, over the four years.  It is revealed that the approximate time any transformer under Town, GRA, Water Works

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Elijah, P.T., and M. Obaseki. "Application of Linear Regression Maintenance Models on Rotodynamic Systems." Nigerian Research Journal of Engineering and Environmental Sciences 6, no. 2 (2021): 695–705. https://doi.org/10.5281/zenodo.5805259.

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<em>This paper presents a maintenance model as well as its analysis for minimizing unexpected breakdowns, decrease in productivity and high maintenance cost, associated with rotodynamic systems failures. This work presented a case study of a gas compressing systems and integrates linear regression models derived from Weibull’s exponential distribution in determining the frequency of failure and the mean time between failures (MTBF) of the gas compressing systems. Results obtained showed that the gas compressing system’s frequency of failure and the mean time between failures were 0

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Alfionita, Silvana, and Fakhri Ikhwanul Alifin. "Preventive Maintenance Analysis Based on Mean Time Between Failure (MTBF) and Mean Time to Repair (MTTR)." Angkasa: Jurnal Ilmiah Bidang Teknologi 15, no. 2 (2023): 201. http://dx.doi.org/10.28989/angkasa.v15i2.1833.

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A company's ability to meet its goals depends heavily on the smooth operation of its production process. To ensure that the production machinery operates smoothly and without any breakdowns, it is essential to implement effective maintenance that addresses any issues related to the equipment. This research aims to identify the root causes of equipment failure in the soda and dolomite bucket elevator by analyzing the Mean Time Between Failure (MTBF), Mean Time to Repair (MTTR), and conducting a qualitative evaluation using Failure Mode Effects Analysis (FMEA). The analysis reveals that the comp

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ISHA, SANITHA S., and P. A. RAMAKRISHNAN. "DESIGN AND FINITE ELEMENT ANALYSIS TO IMPROVE MTBF OF VARIABLE SPEED CENTRIFUGAL PUMP." IJIERT - International Journal of Innovations in Engineering Research and Technology 5, no. 5 (2018): 73–81. https://doi.org/10.5281/zenodo.1446227.

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<strong>Vibration analysis is a technique for analyzing vibration spectrum of individual machine components and identifying its causes and extends of failures. The method of vibration analysis is not only minimizes the need for extensive,but makes it possible to detect developing problems which are out of the range of human sense of touch and hearing. The Objective of this work is to study the problems results in the failure of pump and suggest some better maintenance strategies to improve MTBF (Mean Time between Failures) of the pump and the motor and to reduce maintenance cost by finite elem

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Alfin, Muhammad, and Rusindiyanto Rusindiyanto. "A Analysis of Preventive Maintenance Schedule of Xym1900 Vertical Roller Mill Crusher Machine using MTBF (Mean Time Between Failures) Method Based on RCA (Root Cause Analysis)." ITEJ (Information Technology Engineering Journals) 10, no. 1 (2025): 78–92. https://doi.org/10.24235/itej.v10i1.205.

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The reliability and performance of heavy machinery are critical to maintaining consistent production in the cement industry. This study analyzes the preventive maintenance schedule of the XYM1900 Vertical Roller Mill crusher machine at PT XYZ, where frequent breakdowns have contributed to production inefficiencies and increased operational costs. The research employs the Mean Time Between Failures (MTBF) method to evaluate the reliability of key machine components and identify optimal maintenance intervals. Additionally, Root Cause Analysis (RCA) is used to trace the underlying causes of recur

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Novarika, Wirda, Mahrani Arfah, and Ridho Agustian. "Analisis Preventive Maintenance pada Mesin Heater Kernel Dengan Metode Menghitung Mean Time Between Failure (MTBF) dan Mean Time To Repair (MTTR) di PT. Supra Matra Abadi." JURNAL UNITEK 16, no. 2 (2023): 259–67. http://dx.doi.org/10.52072/unitek.v16i2.544.

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Tujuan dari penelitian ini untuk meminimalisir dan mengetahui jadwal Preventive Maintenance mesin Heater Kernel yang efektif dan mengetahui sejauh mana Preventive Maintenance pada mesin Heater Kernel dengan metode Mean Time Between Failure (MTBF) dan Mean Time To Repair (MTTR) dapat membantu mengurangi Breakdown dan downtime. Mean Time Between Failure (MTBF) dan Mean Time to Repair (MTTR) adalah salah satu metode sebagai acuan untuk menetapkan jadwal perawatan yang efektif. Oleh karena itu perlu tindakan preventive maintenance agar dapat meningkatkan kinerja dari perusahaan, hasil analisa dida

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Watupongoh, Richard V. B., and Dedy Rusmiyanto. "Analisis Perawatan Alat Bongkar Muat Rubber Tyred Gantry di Terminal Peti Kemas Semarang (TPKS)." Ocean Engineering : Jurnal Ilmu Teknik dan Teknologi Maritim 3, no. 4 (2024): 101–10. https://doi.org/10.58192/ocean.v3i4.3046.

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This study aims to analyze the reliability and performance of Rubber Tyred Gantry (RTG) cranes using the Mean Time To Repair (MTTR), Mean Time Between Failures (MTBF), and Inherent Availability (IA) methods. The MTTR method is used to measure the average time required for repairs, while MTBF calculates the average time between failures. Meanwhile, the IA method assesses the inherent availability of the equipment based on the previous two parameters. The results indicate that some RTG units experience high MTTR, such as RTG035-12, which recorded a repair time of 124.15 hours in January, and RTG

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Silvia, Silvia, Reviana Inda Dwi Suyatmo, and Murnianti Murnianti. "Analisis Preventive Maintenance Berdasarkan Mean Time Between Failure (MTBF) Dan Mean Time To Repair (MTTR) Pada Alat Blow Molding Di PT XYZ." Jurnal Pengabdian Masyarakat Bangsa 2, no. 8 (2024): 3471–78. http://dx.doi.org/10.59837/jpmba.v2i8.1495.

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PT XYZ merupakan perusahaan yang bergerak di bidang manufaktur aksesoris mobil otomotif dan interior kelautan yang berkembang. Sebagian besar produk plastik yang dihasilkan dibuat menggunakan mesin blow molding dengan produk yang sangat bervariasi Sehingga, apabila terjadi kerusakan maka akan menyebabkan produksi tidak bisa berjalan sebagaimana semestinya. Tujuan kegiatan ini adalah menganalisis Preventive Maintenance berdasarkan Mean Time Between Failure (MTBF) dan Mean Time To Repair (MTTR) pada alat blow molding. Preventive maintenance merupakan bagian dari Planned Maintenance Pillar yang m

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Abdul Wahid Arohman, Muhamad Agus, Solahhudin, and Desy Agustin. "Analisis Preventive Maintenance pada Mesin Injection Molding dengan Metode Mean Time Between Failure dan Mean Time to Repair di PT. XZY." Jurnal Serambi Engineering 9, no. 1 (2023): 7623–30. http://dx.doi.org/10.32672/jse.v9i1.720.

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A series of predictable preventive activities to overcome machine failure during operation is very important because it produces good and stable spare parts. This research was carried out with the aim of preventing machine damage due to short circuits that occur in injection molding machines used for the sudden production of automotive component spare parts. The research was carried out using the Mean Time Between Failure (MTBF) and Mean Time To Repair (MTTR) approaches to calculate the time between the machine breaking down and the time it was repaired. The MTBF calculation results in this re

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Duer, Stanisław, Marek Woźniak, Jacek Paś, et al. "Reliability Testing of Wind Farm Devices Based on the Mean Time between Failures (MTBF)." Energies 16, no. 4 (2023): 1659. http://dx.doi.org/10.3390/en16041659.

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Among the most valuable types of renewable energy available today is wind energy. The reliability of WF systems must be regularly evaluated at every stage of their “life,” from design to operation, if a wind farm energy system is to be effective and function damage-free. Three key goals are presented in the article. The theory of fundamental quantities in reliability and maintenance analysis should be derived and explained first. Second, as a consequence of maintainability, theoretical correlations between reliability and mean time between failures (MTBF) are provided. The three-state theory o

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Sagar, Dr G. Y. "MTBF of a Repairable Units with CCS Failures and M L Estimation." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 11, no. 1 (2020): 973–76. http://dx.doi.org/10.61841/turcomat.v11i1.14250.

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In this article, we discussed the method of maximum likelihood (M L) estimation to assess the estimates of mean time between failures (MTBF) of a redundant system. 2-unit identical system in case of series and parallel modes subject to individual, lethal and non-lethal common cause shock (LCCS & NCCS) failures is studied. System life times and repair times of the units are exponential. We developed the estimates of mean time between failures functions in case of series and parallel systems in the time off of analytical approach. We have presented the validity of the resulting estimates wit

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Sarbey, Alexander V., and Nikolay S. Zakharov. "Effect of mean time between failures (MTBF) on uptime indexes of specialty trucks transmission elements of an oil and gas production enterprise." Architecture, Construction, Transport, no. 4(98) (2021): 74–82. http://dx.doi.org/10.31660/2782-232x-2021-4-74-82.

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The reliability of road transport is one of the main factors affecting the operational capacity and special works performance of any road transport company. The efficiency of task performance directly depends on the uninterrupted operation of vehicles at the site of operation. The authors of the study collected data of MTBF of special trucks Ural 4320 for six transmission elements: gearboxes, transfer gearboxes, clutches, cardan shafts, front and rear axles. The numerical values of the main uptime indicators are determined and their functional dependences on the MTBF are obtained. According to

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Troinich, V. A., A. A. Dubovsky, and N. A. Vysotskaya. "Effect of Operating Factors on Reliability of Stoping Complexes and Assessment of Reliability of their Elements." Mining science and technology 4, no. 2 (2019): 79–89. http://dx.doi.org/10.17073/2500-0632-2019-2-79-89.

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For analyzing the dependence of face equipment failure on its length, two groups of elements are commonly considered. The first group includes all elements of shearer-loaders: conveyor drives, elements of pumping stations of powered supports, supports of face junctions with strikes and others. The second group includes all elements of powered support sections, linear sections of pan lines and scrapers of face scraper conveyors, electric cables of shearer-loaders, main pipelines of powered supports, etc. It is noted that the constancy of number of the first group elements linear variability of

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18

O.C.Onuigbo and Edokpia R.O. "Tripping Profile of 11kv Feeders in Benin City, Edo State, Nigeria." Tripping Profile of 11kv Feeders in Benin City, Edo State, Nigeria 8, no. 12 (2023): 5. https://doi.org/10.5281/zenodo.10409799.

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Nigeria’s power supply has been experiencing incessant interruptions due to failures in the distribution system. The maintainability of the power system is important in meeting customers demand. The maintainability of three 11kv feeder in Benin Electricity Distribution Company (BEDC), Edo State Nigeria is evaluated in this study. The failure data which includes; time of failure, time outage was restored, causes of failure, and the failure time were collated and collected from the Injection substations of the three feeders for the year 2020 and 2021. Monthly and Yearly Mean time between f

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Fatma, Nur Fadilah, Henri Ponda, and Rizky Aditya Kuswara. "ANALISIS PREVENTIVE MAINTENANCE DENGAN METODE MENGHITUNG MEAN TIME BETWEEN FAILURE (MTBF) DAN MEAN TIME TO REPAIR (MTTR) (STUDI KASUS PT. GAJAH TUNGGAL TBK)." Heuristic 17, no. 2 (2020): 87–94. http://dx.doi.org/10.30996/heuristic.v17i2.4648.

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Mesin beroperasi secara terus menerus menyebabkan menurunnya tingkat kehandalan peralatan serta menyebabkan sering terjadinya breakdown dan downtime yang tinggi pada mesin-mesinnya terutama pada mesin Extruder (ITE). Untuk meminimalisir terjadinya breakdown dan downtime maka perlu adanya sistem penjadwalan perawatan yang baik guna mencegah terjadinya kerusakan mesin. Mean Time Between Failure (MTBF) dan Mean Time to Repair (MTTR) adalah salah satu metode sebagai acuan untuk menetapkan jadwal perawatan yang efektif. Oleh karena itu, diperlukannya tindakan preventive maintenance agar dapat menin

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Butorin, V. A. "Selection of preset parameters to assess the compliance of restored submersible electric motors with the overhaul requirements." Agricultural Engineering, no. 5 (2024): 53–58. http://dx.doi.org/10.26897/2687-1149-2024-5-53-58.

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The main characteristic of the performance of submersible electric motors after overhauls is their reliability. To assess the compliance of reliability indicators of restored submersible electric motors with technical requirements for overhauls, various types of tests are used. The most acceptable of them is the bench test method based on a sequential failure analysis of the studied electric motors. To implement it, the specified parameters should be set. In this study, based on the use of technical requirements for the manufacture and repair of submersible electric motors, the authors determi

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Suresh Kumar Sahani. "Performance and Assessment of Jaw Crusher in a Cement Manufacturing Plant." Communications on Applied Nonlinear Analysis 32, no. 3 (2025): 904–9. https://doi.org/10.52783/cana.v32.4855.

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Jaw crushers are essential apparatus in cement production facilities, principally utilized for pulverizing raw materials such as limestone, clay, and other minerals. The dependability of jaw crushers strongly influences production efficiency and maintenance expenses. This research examines the repair and failure rates of jaw crushers in a cement factory, assessing prevalent failure types, their underlying causes, and maintenance solutions to enhance equipment uptime. Data was gathered from maintenance logs over a two-year duration, and statistical analysis was conducted to ascertain Mean Time

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SAXENA, AVINASH, and SHRISHA RAO. "DEGRADATION ANALYSIS OF PROBABILISTIC PARALLEL CHOICE SYSTEMS." International Journal of Reliability, Quality and Safety Engineering 21, no. 03 (2014): 1450012. http://dx.doi.org/10.1142/s0218539314500120.

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Degradation analysis is used to analyze the useful lifetimes of systems, their failure rates, and various other system parameters like mean time to failure (MTTF), mean time between failures (MTBF), and the system failure rate (SFR). In many systems, certain possible parallel paths of execution that have greater chances of success are preferred over others. Thus we introduce here the concept of probabilistic parallel choice. We use binary and n-ary probabilistic choice operators in describing the selections of parallel paths. These binary and n-ary probabilistic choice operators are considered

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Shi, Zhanghu, Xi Zhao, Huang Zhang, et al. "Reliability Analysis on Domestic Special CNC Machine Tools Based on Weibull Distribution." Journal of Physics: Conference Series 2101, no. 1 (2021): 012024. http://dx.doi.org/10.1088/1742-6596/2101/1/012024.

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Abstract Mean time between failures (MTBF), regarded as an important target to evaluate the performance of machine tool, is widely applied in analysis of reliability, especially in reliability model building. Taking Huazhong CNC HNC-848C Complex Machine Tool as research object, this paper conducted censored test to collect MTBF data during a period of 226 days. Based on the data and presupposed Weibull reliability model. Parameters of the model were estimated by least square method. Graph test Method and Kolmogorov-Smirnov Method are implemented to perform the hypothesis test on obtained param

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Alajaleen, Bulqees, and Aysh Alhroob. "Failure Prediction Approach in Agile Software Development." International Journal of Software Innovation 10, no. 1 (2022): 1–11. http://dx.doi.org/10.4018/ijsi.292025.

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Software failure prediction is an important activity during agile software development as it can help managers to identify the failure modules. Thus, it can reduce the test time, cost and assign testing resources efficiently. RapidMiner Studio9.4 has been used to perform all the required steps from preparing the primary data to visualizing the results and evaluating the outputs, as well as verifying and improving them in a unified environment. Two datasets are used in this work, the results for the first one indicate that the percentage of failure to predict the time used in the test is for al

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Hristova, Mariya. "Mathematical Modeling and Examination of the Effects of Structural Redundancy in а Class of Computer-Based Fault Tolerant Systems". Cybernetics and Information Technologies 16, № 2 (2016): 35–45. http://dx.doi.org/10.1515/cait-2016-0018.

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Abstract The present article models and examines k˅n systems, in particular Triple modular redundancy (2˅3) and 3˅5. The aim of the study is to derive mathematical models, which are used for determining the impact of structural redundancy (the number of channels n and the threshold of the quorum function k) on the reliability of the system. The probability of failure-free operation p and the Mean Time Between Failures (MTBF) are used as reliability indicators.

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Rofiq Salam, Rois Nur, and Edi Widodo. "Periodic Maintenance Analysis of Diesel Motor Generator Set 900 kVA Power as Backup Energy." Procedia of Engineering and Life Science 7 (February 20, 2024): 1–9. http://dx.doi.org/10.21070/pels.v7i0.1597.

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This study aims to evaluate the efficiency of generators as backup power sources through daily, monthly, and annual routine maintenance analysis to improve their reliability, availability, and operational health. The study was conducted in compliance with regulations related to electrical maintenance of aviation facilities and power plants. The methods used to determine the efficiency of generators include Mean Time Between Failures (MTBF), Actual Operating Time (AOT), Specified Operating Time (SOT), Probability, and Availability. The results show that the availability and average compliance o

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Tampoy, Divtara, Priskila Rully Setiyaningrum, and Muhammad Kadarisman. "ANALYSIS OF BLOWOUT PREVENTER MAINTENANCE PERFORMANCE ON RIG #55 AND RIG #99 BASED ON DEGRADATION TEST DATA IN "DERE" FIELD." PETRO: Jurnal Ilmiah Teknik Perminyakan 13, no. 2 (2024): 73–85. https://doi.org/10.25105/petro.v13i2.19826.

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Blowout Preventer (BOP) digunakan untuk mengatasi risiko semburan liar dengan menutup sumur sebelum terjadinya semburan. Penelitian ini akan menganalisis masalah yang terjadi pada BOP di Rig #55 dan Rig #99 di Lapangan “DERE” menggunakan metode performance maintenance. Data yang digunakan untuk menganalisis kinerja BOP di kedua Rig tersebut adalah data degradation test. Metode performance maintenance akan menghitung MTBF (Mean Time Between Failures), MTTR (Mean Time To Repair), serta availability. Selain itu, akan dilihat penyebab penurunan kinerja dan memberikan rekomendasi optimalisasi peraw

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Bedoui, S., and A. Bayadi. "Statistical approach for insulation coordination of high voltage substation exposed to lightning strikes." Electrical Engineering and Electromechanics 2024, no. 4 (2024): 55–60. https://doi.org/10.20998/2074-272X.2024.4.07.

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<strong><em>Introduction. </em></strong><em>Insulation coordination requires accurate prediction of overvoltages at various points within a substation. Computer simulations of electromagnetic transients in real structures of substations become more precise due to the improvements of used models. <strong>Goal. </strong>This paper discusses in a first step the use of the modified ZnO arrester dynamic model alongside other substation equipment models, considering electrical phenomena like the corona model for reproducing the stresses that lightning can cause in an air-insulated sub

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Kwak, Yun-gi, Dae-ho Heo, Sun-Pil Kim, Sung-Geun Song, Sung-Jun Park, and Feel-soon Kang. "Reliability and Economic Efficiency Analysis of 4-Leg Inverter Compared with 3-Leg Inverters." Electronics 10, no. 1 (2021): 87. http://dx.doi.org/10.3390/electronics10010087.

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The 4-leg inverter can adjust the load current or output voltage even under unbalanced load conditions, but it is known that the additional switch arm to the 3-leg inverter can increase the overall cost and the failure rate. This paper aims to analyze the failure rate and mean time between failures (MTBF) of 3-leg inverters and 4-leg inverters using part count failure analysis (PCA) and fault-tree analysis (FTA), and to compare the price of the inverters. The FTA can analyze the failure rate, including the type, number and connection status of the circuit components, and moreover the redundanc

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Suresh Kumar Sahani. "Statistical Reliability Modeling of Cement Kilns and Crushers." Panamerican Mathematical Journal 33, no. 4 (2024): 115–20. https://doi.org/10.52783/pmj.v33.i4.4223.

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In the cement manufacturing sector, continuous output depends heavily on the dependability of cement kilns and crushers. Through the use of reliability analysis tools and failure data, this work seeks to create statistical reliability models for these crucial components. Applying suitable probability distributions, gathering historical failure data, and predicting important reliability metrics like Mean Time Between Failures (MTBF) and Failure Rate are all part of the research technique. The investigation shows that the Weibull distribution accurately depicts failure patterns and matches the f

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Zhang, Kaiyue, Zhixin Jia, Renpeng Bian, Ketai He, and Zhicheng Jia. "Reliability Prediction and FMEA of Loading and Unloading Truss Robot for CNC Punch." Applied Sciences 13, no. 8 (2023): 4951. http://dx.doi.org/10.3390/app13084951.

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Loading and unloading truss robot for computer numerical control (CNC) punch is widely used in the production of sheet metal parts, as its reliability level is directly related to the quality of sheet metal parts. Especially for the automatic sheet metal production line, it is urgent to predict the reliability of the loading and unloading truss robot for CNC punch. In this paper, a new method for the reliability prediction of the loading and unloading truss robot for CNC punch is proposed. The method uses the component counting method to predict the failure rate and mean time between failures

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Li, James. "Reliability Calculation for Dormant k-out-of-n Systems with Periodic Maintenance." International Journal of Mathematical, Engineering and Management Sciences 1, no. 2 (2016): 68–76. http://dx.doi.org/10.33889/ijmems.2016.1.2-008.

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In this paper, a dormant k-out-of-n systems redundancy calculation will be introduced. Dormant failure is a failure that cannot be detected when it occurs because of the nature of the failure characteristic. Therefore, a dormant failure becomes the blind point to the design for reliability and maintainability because of its inability to be detected. The most popular approach in detecting a dormant failure is to carry out a scheduled periodic inspection, test or maintenance activity. The scheduled periodic maintenance is applied to prevent and reduce the unexpected dormant failures that could l

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Sun, Yongquan, Xinkun Qin, Lin Li, Youmei Zhang, Jiahai Zhang, and Jia Qi. "The Impact of Temperature on the Performance and Reliability of Li/SOCl2 Batteries." Energies 17, no. 13 (2024): 3063. http://dx.doi.org/10.3390/en17133063.

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The performance and reliability of lithium thionyl chloride (Li/SOCl2) batteries are significantly affected by temperature, but the reliability level and failure mechanisms of Li/SOCl2 batteries remain unclear. In this study, Weibull distribution statistics were used to infer the life expectancy of Li/SOCl2 batteries at different temperatures. Additionally, the battery failure mechanism was analyzed using electrochemical impedance spectroscopy (EIS). It is found that under the discharge condition of 7.5 kΩ load, the mean time between failures (MTBF) and reliable life of the battery decreased w

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Li, Lei, Qi Chang, Changcong Zhou, Wenxuan Wang, and Zheng Zhang. "Sensitivity Analysis-Based Optimization: A Case Study with the MTBF of an Aeronautical Hydraulic Pipeline System." International Journal of Computational Methods 17, no. 05 (2019): 1940019. http://dx.doi.org/10.1142/s021987621940019x.

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The complex layout and harsh working environment often encountered in aeronautical hydraulic pipeline system (AHPS) result in the requirement of a large number of constraints that are mainly utilized to avoid the damage caused by engine vibration and wing flutter. As a result, improvement of the mean time between failures (MTBF) of the AHPS considering all constraint locations is a costly process, and the management of such large-scale design variables is also frustrating. In this paper, a sensitivity analysis-based optimization is proposed. Firstly, the MTBF of AHPS under stochastic vibration

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Dziugiel, Bartosz. "Piston-electric propulsion system as reliable alternative for classic and nonconventional piston engine configurations." Aircraft Engineering and Aerospace Technology 92, no. 3 (2019): 390–97. http://dx.doi.org/10.1108/aeat-01-2018-0037.

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PurposeThe purpose of this paper is to define reliability requirements to be imposed on electric engines to assure similar or higher value of mean time between failures (MTBF) for mixed piston-electric propulsion configurations when compared to classic and unconventional piston engine configurations.Design/methodology/approachReliability estimation was done using mathematical model of safety of light aircraft commercial operations. The model was developed on the basis of Federal Aviation Administration and National Transport Safety Board data. The analysis was conducted for numerous piston and

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Wang, Houxiang, Haitao Liu, and Songshi Shao. "Improved Bootstrap Method Based on RBF Neural Network for Reliability Assessment." Applied Sciences 14, no. 7 (2024): 2901. http://dx.doi.org/10.3390/app14072901.

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The investigation of the reliability of long-life equipment is typically hindered by the lack of experimental data, which makes accurate assessments challenging. To address this problem, a bootstrap method based on the improved RBF (radial basis function) neural network is proposed. This method utilizes the exponential function to modify the conventional empirical distribution function and fit right-tailed data. In addition, it employs the RBF radial basis neural network to obtain the distribution characteristics of the original samples and then constructs the neighborhood function to generate

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Florea, Vlad Alexandru, Dragos Pasculescu, and Vlad Mihai Pasculescu. "Reliability and maintainability of scraper conveyor used in coal mining in the Jiu Valley." Mining of Mineral Deposits 15, no. 3 (2021): 16–21. http://dx.doi.org/10.33271/mining15.03.016.

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Purpose.The aim of the study is to determine and analyse causes of faults in the operation of TR-7A scraper conveyor and to estimate the required time for their remediation and select the methods of their prevention and elimination. Methods. The characteristic of a system, such as the scraper conveyor, intended to fulfil its specified function in time and operation conditions, can be studied, theoretically, by determining its operational reliability. This implies the existence of a framework that incorporates several interconnected components of technical, operational, commercial and managemen

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Panchal, Dilbagh, and Dixit Garg. "Application of Reliability-Centered Maintenance with a Computerized Maintenance Management System for the Wheelset in Rolling Stock." Spectrum of Decision Making and Applications 3, no. 1 (2025): 70–84. https://doi.org/10.31181/sdmap31202636.

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Maintenance plays an important role in ensuring the reliability and safety of rolling stock in the railway sector. This study focuses on the application of an integrated Reliability-Centered Maintenance (RCM) and Computerized Maintenance Management System (CMMS) for wheelsets in a wheel profiling measurement system. The combined use of RCM and CMMS helps optimize key reliability indices, such as Mean Time Between Failures (MTBF), Mean Time to Repair (MTTR), and Availability. The results demonstrate that automation enhances performance, with MTBF increasing from 500 to 800 hours and MTTR decrea

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Semenenko, Oleg, Vladyslav Nabok, Maryna Sliusarenko, Yuzef Dobrovolskyi, and Oleksandr Paiuk. "METHOD OF ANALYTICAL SIMULATION OF FAILURE-FREE COMBAT ASSETS OF ANTI-AIRCRAFT MISSILE FORCES." Collection of scientific works of Odesa Military Academy, no. 16 (February 11, 2022): 82–89. http://dx.doi.org/10.37129/2313-7509.2021.16.82-89.

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The article sets out a method for analytical modeling of the recoverability of anti-aircraft missile forces using the example of a self-propelled fire launcher (SOU) of the Buk anti-aircraft missile system. The main attention is paid to one of the properties of technical reliability, namely the reliability of weapons and military equipment. This is especially true of the IWT anti-aircraft missile forces, the failure to fulfill the tasks of which due to failures in operation can lead to serious consequences in operation or battle. The improved method of mathematical modeling of reliability allo

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Lampreia, Suzana, Valter Vairinhos, Victor Lobo, and José Requeijo. "A Statistical State Analysis of a Marine Gas Turbine." Actuators 8, no. 3 (2019): 54. http://dx.doi.org/10.3390/act8030054.

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This paper describes the analysis, from a statistical point of view, of a maritime gas turbine, under various operating conditions, so as to determine its state. The data used concerns several functioning parameters of the turbines, such as temperatures and vibrations, environmental data, such as surrounding temperature, and past failures or quasi-failures of the equipment. The determination of the Mean Time Between Failures (MTBF) gives a rough estimate of the state of the turbine, but in this paper we show that it can be greatly improved with graphical and statistical analysis of data measur

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Fan, Lihong, Rui Tu, Zengji Zheng, et al. "Evaluation of Signal-in-Space Continuity and Availability for BeiDou Satellite Considering Failures." Journal of Navigation 73, no. 2 (2019): 312–23. http://dx.doi.org/10.1017/s0373463319000602.

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Signal-in-space (SIS) continuity and availability are important indicators of performance assessment for Global Navigation Satellite Systems (GNSSs). The BeiDou Navigation Satellite System (BDS) Open Service Performance Standard (BDS-OS-PS-1.0) has been released, and the corresponding public performance indicators have been provided, but the actual SIS performance is uncertain to users. SIS continuity and availability are primarily related to unscheduled outages (failures). Therefore, based on the existing failure classification system and actual operation modes, four types of failure modes ar

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Nazarichev, A. N., O. S. Melnikova, D. D. Manukyan, and A. Kh Safiullin. "Reliability assessment of autonomous power plants in electrical complexes of the gas industry." Safety and Reliability of Power Industry 18, no. 1 (2025): 21–30. https://doi.org/10.24223/1999-5555-2025-18-1-21-30.

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Reliability of autonomous power plants based on gas piston and gas turbine power units for auxiliary needs (APU) of gas industry enterprises is one of the key factors for ensuring uninterruptible power supply and efficient functioning of gas industry facilities. In modern economic conditions, stable operation of APU is important, and any failures can lead to significant financial losses and shutdown of production processes. Modern APU are complex technical systems that include various types of equipment. The article analyzes statistical data on failures that occur during operation of autonomou

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Bharathi, Rao, and Satyendra Kumar M. "Reliability analysis of single phase quazi Z source inverter for standalone photovoltaic system." Bulletin of Electrical Engineering and Informatics 11, no. 6 (2022): 3023~3032. https://doi.org/10.11591/eei.v11i6.4101.

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Quazi Z source inverter has an advantage that it can boost or buck voltage to be given to an inverter. Operation of a QZSI is similar to a Z source inverter (ZSI). A conventional photovoltaic application uses a two-stage topology of boost converter and an inverter. A QZSI can be replaced for a two-stage topology to serve the purpose. A 3 KW single phase QZSI is designed and simulated for a standalone photovoltaic system in this paper. The results for total harmonic distortion (THD) of output voltage and mean time between failure (MTBF) of the overall system is compared with a conventional ZSI

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Bajgotra, Sanjay, Sangam Sangral, Gurtej Singh, and Sanjeev Gupta. "MAINTENANCE COST ANALYSIS OF MECHANICAL COMPONENTS IN THE AGROCHEMICAL INDUSTRY." International Journal of Engineering Applied Sciences and Technology 9, no. 08 (2024): 61–66. https://doi.org/10.33564/ijeast.2024.v09i08.012.

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This study evaluates the total maintenance cost of mechanical components used in the agrochemical industry, focusing on identifying cost drivers, optimizing strategies, and analyzing performance factors. Key findings include differences in maintenance costs for 1000g and 500g Stock Keeping Units (SKUs) over three years from January 2021 to December 2023, highlighting significant trends in Mean Time Between Failures (MTBF), Mean Time to Repair (MTTR), and maintainability. The analysis integrates preventive, predictive, and corrective maintenance strategies, offering actionable insights to minim

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Solihin, Solihin, Murwan Widyantoro, and Al Munawir. "Preventive Maintenance Analysis on Stationery Spot Welding." Jurnal Mekanova: Mekanikal, Inovasi dan Teknologi 7, no. 2 (2021): 94. http://dx.doi.org/10.35308/jmkn.v7i2.4205.

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AbstractMaintenance is all activities needed to maintain or maintain the quality of equipment or machines to keep them functioning properly, for that maintenance is very important at PT. XYZ.Smooth production is highly dependent on the reliability and readiness of the machine, therefore a maintenance policy is needed by determining the priority of the machine to be maintained so that the reliability of the machine is maintained. The machine under study is the Stationery Spot Welding machine for both assy parts and body parts. The distribution model used is the exponential distribution model, f

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Jingwei, Xie, Huang Peng, and Liu Gang. "A New Analytic Method of Multistate Single-component System Reliability Model." MATEC Web of Conferences 175 (2018): 03058. http://dx.doi.org/10.1051/matecconf/201817503058.

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For the reliability modeling of multistate single-component system, single maintenance bench provides the preventive maintenance and alternative maintenance services on the basis of system performance level following the stochastic detection strategy. Phase-type distribution is employed in place of exponential distribution and other typical distributions to describe the stochastic time variable in the reliability modeling process in a unified manner. Through matrix analysis, the analytic expressions for reliability indicators including system steady-state availability, mean time between failur

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Wang, Zhi Ming. "Reliability Assessment Test Design for Numerical Control Machine Tools." Advanced Materials Research 542-543 (June 2012): 1218–21. http://dx.doi.org/10.4028/www.scientific.net/amr.542-543.1218.

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According to the required interval estimation precision of mean time between failures (MTBF) and reliability for numerical control (NC) machine tools, where failure processes can be described by the power law process model, the minimal testing truncated time and sample size of the reliability assessment test are given using Fisher information matrix method. The results show that there are two main factors which affect the truncated time and sample size. They are the log ratio of upper bound to lower bound and confidence of interval estimation for reliability indices, respectively. Among them,

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Lu, Xiao Hong, Peng Zhuo Han, Wen Yi Wu, and Wei Jie. "Reliability Evaluation of Circular Tool Magazine and Automatic Tool Changer." Advanced Materials Research 630 (December 2012): 245–48. http://dx.doi.org/10.4028/www.scientific.net/amr.630.245.

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Tool magazine and automatic tool changer is important parts to fulfill the machining center tool reserve and automatic changing of the spindle tool. The reliability of them directly affects the performance of the host. But recently there are no researches on the reliability evaluation methods, so considering this situation, the reliability evaluation researches on CNC machine tools and their main parts at home and abroad are analyzed and concluded. Combining the collected failure data of the circular tool magazine and automatic tool changer, use MTBF (Mean Time between Failures), MTTR (Mean Ti

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Prayogo, Arnes Setya, and R. Fairuz Zamani. "Update Equipment Critically Rating Dan Analisa Kestabilan Maintenance Equipment Kategori A Dengan Nilai Mean Time Between Failures Di Pabrik PA1 B0102 PT Petrokimia Gresik." Otopro 14, no. 1 (2019): 24. http://dx.doi.org/10.26740/otopro.v14n1.p24-34.

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Hasil update ECR (Equipment Critically Rating) pada pabrik PA1 functional location B0102 ditemukan beberapa equipment yang sudah tidak digunakan, beberapa equipment turun tingkat krtitisnya dibandingkan dengan sebelumnya, hal ini dikarenakan perbedaan metode dalam penggolongan ECR. Metode yang saya gunakan merupakan metode baru yang diterapkan tahun 2018 oleh Departemen Pemeliharaan III PT Petrokimia Gresik.Data Trend MTBF dari equipment kategori A menunjukan banyaknya peralatan yang belum handal, kegiatan maintenance di Departemen Pemeliharaan III masih kurang efektif sehingga rata-rata waktu

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Iglesias-Martínez, Miguel E., Moisés Hernaiz-Guijarro, Juan Carlos Castro-Palacio, Pedro Fernández-de-Córdoba, J. M. Isidro, and Esperanza Navarro-Pardo. "Machinery Failure Approach and Spectral Analysis to Study the Reaction Time Dynamics over Consecutive Visual Stimuli: An Entropy-Based Model." Mathematics 8, no. 11 (2020): 1979. http://dx.doi.org/10.3390/math8111979.

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The reaction times of individuals over consecutive visual stimuli have been studied using an entropy-based model and a failure machinery approach. The used tools include the fast Fourier transform and a spectral entropy analysis. The results indicate that the reaction times produced by the independently responding individuals to visual stimuli appear to be correlated. The spectral analysis and the entropy of the spectrum yield that there are features of similarity in the response times of each participant and among them. Furthermore, the analysis of the mistakes made by the participants during

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