Approximate System Reliability Analysis of Distribution Networks With Repairable Components and Common Cause Failures

D. Ravi Kumar*, V. Sankar**
* Assistant Professor, Department of Electrical Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India.
** Professor, Department of Electrical Engineering, Jawaharlal Nehru Technological University, Anantapur, India.
Periodicity:January - March'2016
DOI : https://doi.org/10.26634/jee.9.3.4885

Abstract

Common Cause Failures (CCF) would indicate the failures of multiple components in a system due to some cause. In this paper, an attempt has been made to analyze the Limiting State Probabilities (LSP) of states for small repairable systems in which, the components are prone for failures due to CCF. For large systems, the same can also be used, as failure modes represent cut sets of the system and it is known that cut sets of order more than three can be ignored as they don't contribute much to predict the indices for approximate system reliability analysis. Analysis of repairable components with CCF is presented with a case study.

Keywords

Common Cause Failures, Repairable Components, Distribution System

How to Cite this Article?

Kumar, D. R., and Sankar, V. (2016). Approximate System Reliability Analysis of Distribution Networks With Repairable Components and Common Cause Failures. i-manager’s Journal on Electrical Engineering, 9(3), 32-40. https://doi.org/10.26634/jee.9.3.4885

References

[1]. B.S. Dhillon, and O.C. Anude (1993). “Common Cause Failure analysis of a non-identical unit parallel system with arbitrarily distributed repair times”. Journal of Microelectronics Reliability, Vol. 33, No.1, pp. 87-103.
[2]. B.S. Dhillon, and O.C. Anude (1993). “Common Cause Failure analysis of a redundant system with non - repairable units”. Journal of Microelectronics Reliability, Vol. 33, No.10, pp. 1499-1509.
[3]. B.S. Dhillon, and O.C. Anude (1994). “Common Cause Failure Analysis of a k-out-of–n:G system with repairable units”. Journal of Microelectronics Reliability, Vol. 34, No.3, pp. 429-442.
[4]. Hassett, T.F. Dietrich, and Duane L, (1995). “Time varying failure rates in the availability and reliability analysis of repairable systems”. IEEE Trans. on Reliability, Vol. 44, No.1, pp.155-160.
[5]. Subhasish Mitra, and Edward J.McCluskey (2000). “Design of Redundant Systems Protected Against CMF”. Center for Reliable Computing, pp. 1-24.
[6]. T. Zhang, and M. Horigome, (2001). “Availability and reliability of system with dependent components and time-varying failure and repair rates”. IEEE Trans. on Reliability, Vol.50, No.2, pp. 151–158.
[7]. Sridharan V, and T.V. Kalyani (2002). “Stochastic analysis of a non-identicaltwo-unit parallel system with CCF using GERT technique:. International Journal of Information and Management Sciences, Vol.13, No.1, pp. 49-57.
[8]. Shen, Z., and Fan. W., (2008). “Exponential asymptotic property of a parallel repairable system with warm standby under Common-Cause Failure”. Journal of Mathematical Analysis and Applications, Vol. 341,No.1, pp. 457-466.
[9]. M. A. El-Damcese (2009). “Analysis of Warm Standby Systems Subject to Common-Cause Failures with Time Varying Failure and Repair Rates”. Applied Mathematical Sciences, Vol. 3, No.18, pp. 853-860.
[10]. Li, C-Y., Chen, X., Yi, X-S., and Tao, J-Y., (2010). “Heterogeneous redundancy optimization for multi-state series–parallel systems subject to Common Cause Failures”. Reliability Engineering and System Safety, Vol. 95, No.3, pp. 202-207.
[11]. Mi J, Li Y, Huang H-Z, Liu Y, and Zhang X-L., (2013). “Reliability analysis of multi-state system with Common Cause Failure based on bayesian networks ”. Maintenance and Reliability, Vol.15, No.2, pp. 169–175.
[12]. D. Ravi Kumar, P. Srinivasa Varma, and V. Sankar (2014). “Approximate System Reliability analysis of th systems with Catastrophic and CMF”. Elsevier, 38 National System Conference on Real Time Systems: Modelling Analysis and Control, pp. 108-113.
[13]. R. Billinton, and R. N. Allan (2007). Reliability Evaluation of Engineering Systems, Second Edition. Springer International Edition, Reprinted in India, BS Publications, pp. 352-359.
[14]. P. Hokstad, M. Rausand (2008). Common Cause Failure Modeling: Status and Trends-Handbook of Performability Engineering, Edited by K.B. Misra Springer, London.
[15]. V. Sankar, (2015). System Reliability Concepts. Himalaya Publishing House, pp. 239-275.
[16]. Giancarlo Guenzi, (2010). “Reliability evaluation of Common-Cause failures and other interdependencies in large reconfigurable networks”. Ph.D.Dissertation, University of Maryland, USA, pp. 58-75.
[17]. MIL-HDBK-217E, (1991). On Reliability Prediction of Electronic Equipment. Department of Defense, Washington DC.
[18]. NEA, (2004). International Common Cause Failure Data Exchange. ICDE general coding guidelines. Technical note EA/CSNI/R4. Nuclear Energy Agency.
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