On a general standby system and its optimization

• Autorzy: Cha J. H. , Yun W. Y.
• Języki publikacji: EN

Abstrakty

EN

Redundancy or standby is a technique that has been widely applied to improving system reliability and availability in the stage of system design. In this paper, we consider a standby system with two units in which the first unit (unit 1) starts its operation under active state and the other unit (unit 2) is under cold standby state at the starting point. After a specified time s (switching time), the state of unit 2 is changed to warm standby state and, as soon as the operating unit 1 fails, the state of unit 2 is changed to active state. If unit 1 fails before times, the system fails. Units can fail at both active and warm standby states. A general method for modeling the standby system is adopted and, based on it, system performance measures (system reliability and mean life) are derived. We consider the problem of determining optimal switching time which maximizes the expected system life. Some numerical examples are studied.

Słowa kluczowe

EN

warm standby; accelerated life testing; virtual age; switching time; mean lifetime

• Wydawca: Polskie Towarzystwo Bezpieczeństwa i Niezawodności
• Czasopismo: Journal of Polish Safety and Reliability Association
• Rocznik: 2009
• Tom: Vol. 1
• Strony: 95--100
• Opis fizyczny: Bibliogr. 11 poz., wykr.

Twórcy

autor

Cha J. H.

• Ewha Womans University, Seoul, Korea

autor

Yun W. Y.

• Pusan National University, Pusan, Korea

Bibliografia

• [1] Aven, T. (1990). Availability formulae for standby systems of similar units that are preventively maintained. IEEE Transactions on Reliability 39, 603-606.
• [2] Birolini, A. (1994). Quality and Reliability of Technical Systems. Springer-Verlag, New York.
• [3] Cha, J. H., Mi, J. & Yun, W. Y. (2008), Modelling general standby system and evaluation of its performance. Applied Stochastic Models in Business and Industry 24, 159-169.
• [4] Ebeling, C. E. (1997). An Introduction to Reliability and Maintainability Engineering. McGraw-Hill Companies, Inc., Boston.
• [5] Finkelstein, M. S. (1999). Wearing-out of components in a variable environment. Reliability Engineering and System Safety 66, 235–242.
• [6] Finkelstein, M. S. (2007). On statistical and information-based virtual age of degrading system. Reliability Engineering and System Safety 92, 676-681.
• [7] Meeker, W. Q. & Escobar, L. A. (1993). A review of recent research and current issues of accelerated testing. International Statistical Review 61, 147-168.
• [8] Rausand, M. & Høyland, A. (2004). System Reliability Theory : Models, Statistical Methods, and Applications, 2nd Ed. John Wiley & Sons, Inc., New Jersey.
• [9] Ravichandran, N. (1990). Stochastic Methods in Reliability Theory. John Wiley & Sons, Inc., New York.
• [10] She, J. & Pecht, M. G. (1992). Reliability of a k-out-of-n warm-standby system. IEEE Transactions on Reliability 41, 72-75.
• [11] Zhang, T., Xie, M. & Horigome, M. (2006). Availability and reliability of k-out-of-(M+N): G warm standby systems. Reliability Engineering and System Safety 91, 381-387.