Evaluation of the Reliability of a Standby Redundancy System Under Real Conditions

Authors

  • Hedi A. Guesmi Department of Electrical Engineering, College of Engineering, Qassim University, Saudi Arabia
  • Sayed O. Madbouly Department of Electrical Engineering, College of Engineering, Qassim University, Saudi Arabia

DOI:

https://doi.org/10.13052/jrss0974-8024.1629

Keywords:

Reliability, standby redundancy, mean time to failure

Abstract

This paper presents a novel analysis of a standby redundancy system under real conditions. The study considers the presence of a real commutator and failure detector in the system. Through a comprehensive failure mode analysis, mathematical relationships between different module characteristics are established. The results of investigation provide valuable insights for manufacturers, allowing them to evaluate the Mean Time To Failure (MTTF) of the system during the design phase and make informed decisions regarding the selection of failure rates for the detector and commutator. Overall, this work contributes to the effective operation of standby redundancy systems in practical applications.

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Author Biographies

Hedi A. Guesmi, Department of Electrical Engineering, College of Engineering, Qassim University, Saudi Arabia

Hedi A. Guesmi received the B.Sc./M.Sc., and Ph.D. degrees in Biomedical Engineering from Technical University of Gdansk, Faculty of Electronics – POLAND, in 1990, and 1994 respectively. From 2002 – 2003 he is an Assistant Professor in Biomedical Engineering Department, Higher Institute of Medical Technologies (ISTMT) Tunis, Tunisia. From 2003 – 2007 he is an Assistant Professor in Electronics Department, Higher Institute of Applied Sciences and Technology (ISSAT) Mateur, Tunisia. From 2007 – 2018 he is an Assistant Professor in Department of Medical Equipment Technology, College of Applied Medical Sciences-, Majmaah University, Saudi Arabia. From 2018 – 2021 he is an Assistant Professor in Biomedical Department, College of Applied Heath Sciences in Arrass – Qassim University, Saudi Arabia. From 2021 – Until now he is an Assistant Professor in the Electrical Engineering Department, College of Engineering, Qassim University, Saudi Arabia. His major research interests include reliability, safety, biomedical engineering and electronics.

Sayed O. Madbouly, Department of Electrical Engineering, College of Engineering, Qassim University, Saudi Arabia

Sayed O. Madbouly received the B.Sc., M.Sc., and Ph.D. degrees in Electrical Engineering from Ain Shams University, Egypt, in 1998, 2004, and 2010 respectively. From 2010 to 2013, he is an Assistant Professor in the Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University, Egypt. Since 2013, he is an Assistant Professor in the Electrical Engineering Department, College of Engineering, Qassim University, Saudi Arabia. His major research interests include electrical machines, renewable energy, fuzzy logic control and vector control of electrical machines.

References

Gregory Levitin, Liudong Xing, Yuanshun Dai, “Reliability Versus Expected Mission Cost and Uncompleted Work in Heterogeneous Warm Standby Multiphase Systems”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 47, no. 3, pp. 462–473, 2017.

P. O’Connor, «Practical reliability engineering». Willey 1986.

R.B. Billinton, R. Allant, «Reliability evaluation of engineering systems», Plenum Press 1983.

Julian Salomon, Niklas Winnewisser, Pengfei Wei, Matteo Broggi, Michael Beer, Efficient reliability analysis of complex systems in consideration of imprecision, Reliability Engineering & System Safety, Volume 216, 2021.

Bhatti, Jasdev, Mohit Kumar Kakkar, Nitin Bhardwaj, Manpreet Kaur, and G. Deepika. “Reliability analysis to industrial active standby redundant system.” Malaysian Journal of Science (2020): 74–84.

Martyushev, Nikita V., Boris V. Malozyomov, Svetlana N. Sorokova, Egor A. Efremenkov, Denis V. Valuev, and Mengxu Qi. “Review models and methods for determining and predicting the reliability of technical systems and transport.” Mathematics 11, no. 15 (2023): 3317.

Sharifi, Mani, Pedram Pourkarim Guilani, Arash Zaretalab, and Abdolreza Abhari. “Reliability evaluation of a system with active redundancy strategy and load-sharing time-dependent failure rate components using Markov process.” Communications in Statistics-Theory and Methods 52, no. 13 (2023): 4514–4533.

Chao Gao, Xing-Min Chen, “Stability analysis of a standby system with an unreliable server and switching failure”, IMA Journal of Applied Mathematics, 2022.

Dong-Yuh Yang, Chia-Huang Wu, “Evaluation of the availability and reliability of a standby repairable system incorporating imperfect switchovers and working breakdowns”, Reliability Engineering & System Safety, vol. 207, pp. 107366, 2021.

Gao, Chao, Yongjin Guo, Mingjun Zhong, Xiaofeng Liang, Hongdong Wang, and Hong Yi. “Reliability analysis based on dynamic Bayesian networks: A case study of an unmanned surface vessel.” Ocean Engineering 240 (2021): 109970.

Oszczypała, Mateusz, Jakub Konwerski, Jarosław Ziółkowski, and Jerzy Małachowski. “Reliability analysis and redundancy optimization of k-out-of-n systems with random variable k using continuous time Markov chain and Monte Carlo simulation.” Reliability Engineering & System Safety 242 (2024): 109780.

Guo, Linhan, Ruiyang Li, Yu Wang, Jun Yang, Yu Liu, Yiming Chen, and Jianguo Zhang. “Availability for multi-component k-out-of-n: G warm-standby system in series with shut-off rule of suspended animation.” Reliability Engineering & System Safety 233 (2023): 109106.

Dui, Hongyan, Huiting Xu, and Yun-An Zhang. “Reliability Analysis and Redundancy Optimization of a Command Post Phased-Mission System.” Mathematics 10, no. 22 (2022): 4180.

Ma, Xiaoyang, Bin Liu, Li Yang, Rui Peng, and Xiaodong Zhang. “Reliability analysis and condition-based maintenance optimization for a warm standby cooling system.” Reliability Engineering & System Safety 193 (2020): 106588.

Mohamed Kayid, Mashael A. Alshehri, “Stochastic Comparisons of Lifetimes of Used Standby Systems”, Mathematics, vol. 11, no. 14, pp. 3042, 2023.

Malhotra, Reetu. “Reliability and availability analysis of a standby system with activation time and varying demand.” In Engineering Reliability and Risk Assessment, pp. 35–51. Elsevier, 2023.

Hu, Linmin, Zhuoxin Bai, Xiangfeng Yang, and Mingjia Li. “Reliability modeling and evaluation of uncertain random cold standby k-out-of-m+ n: G systems.” Journal of Ambient Intelligence and Humanized Computing 14, no. 10 (2023): 13833–13846.

Chandra Shekhar, Amit Kumar, Shreekant Varshney, Sherif I. Ammar, “Fault-tolerant redundant repairable system with different failures and delays”, Engineering Computations, vol. ahead-of-print, no. ahead-of-print, 2019.

Ze Wang, Ying Chen, Weiyang Men, “Failure Behavior Analysis of 1-Out-of-N Hot-Standby System with Imperfect Switch”, 2018 12th International Conference on Reliability, Maintainability, and Safety (ICRMS), pp. 355–362, 2018.

Wang, Kuo-Hsiung, Chia-Huang Wu, and Tseng-Chang Yen. “Reliability analysis of redundant retrial machining system subject to standby switching failure.” Quality Technology & Quantitative Management 20, no. 5 (2023): 561–576.

Ruiz, Cesar, Edward A. Pohl, and Haitao Liao. “Selective maintenance modeling and analysis of a complex system with dependent failure modes.” Quality Engineering 32, no. 3, 2020.

Q. Qiu, L. Cui, and D. Kong, “Availability and maintenance modeling for a two-component system with dependent failures over a finite time horizon,” Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, vol. 233, no. 2, pp. 200–210, 2019.

Wu, Hao, Yanwen Xu, Zheng Liu, and Pingfeng Wang. “Mean Time to Failure Prediction for Complex Systems With Adaptive Surrogate Modeling.” In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, vol. 87301, p. V03AT03A051. American Society of Mechanical Engineers, 2023.

Yang, Chen, Wanze Lu, and Yuanqing Xia. “Reliability-constrained optimal attitude-vibration control for rigid-flexible coupling satellite using interval dimension-wise analysis.” Reliability Engineering & System Safety 237, 2023.

Ying-Lin Hsu, Jau-Chuan Ke, Ssu-Lang Lee, “On a redundant repairable system with switching failure: Bayesian approach”, Journal of Statistical Computation and Simulation, vol. 78, no. 12, pp. 1163, 2008.

Wang, Chaonan, Xiaolei Wang, Liudong Xing, Quanlong Guan, Chunhui Yang, and Min Yu. “Efficient reliability approximation for large k-out-of-n cold standby systems with position-dependent component lifetime distributions.” Reliability Engineering & System Safety 240 (2023): 109548.

Shaoxuan Wang, Yuantao Yao, Daochuan Ge, Zhixian Lin, Jie Wu, Jie Yu, “Reliability evaluation of standby redundant systems based on the survival signatures methods” Reliability Engineering & System Safety, Volume 239, 2023, 109509, ISSN 0951-8320.

Malhotra, R., Alamri, F.S., Khalifa, H.A.E.-W. Novel Analysis between Two-Unit Hot and Cold Standby Redundant Systems with Varied Demand. Symmetry 2023, 15, 1220.

Monika Manglik, Mangey Ram: “Reliability analysis of a two unit cold standby system using markov process” . Journal of Reliability and Statistical Studies; ISSN (Print): 0974-8024, (Online): 2229-5666, Vol. 6, Issue 2 (2013): 65–80.

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Published

2024-05-07

How to Cite

Guesmi, H. A., & Madbouly, S. O. (2024). Evaluation of the Reliability of a Standby Redundancy System Under Real Conditions. Journal of Reliability and Statistical Studies, 16(02), 357–372. https://doi.org/10.13052/jrss0974-8024.1629

Issue

Section

Advances in Reliability Studies