Reliability prediction of fault tolerant machining system with reboot and recovery delay

被引：9

作者：

Shekhar C. ^{[1
]}

Jain M. ^{[2
]}

Raina A.A. ^{[3
]}

Iqbal J. ^{[3
]}

机构：

[1] Department of Mathematics, Birla Institute of Technology and Science, Pilani Campus, Pilani, 333 031, Rajasthan

[2] Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, 247 667, Uttarakhand

[3] Department of Mathematical Sciences, BGSB University, 185 234, Rajouri, Jammu and Kashmir

来源：

International Journal of System Assurance Engineering and Management | 2018年 / 9卷 / 2期

关键词：

Active redundancy; Common cause failure; Fault tolerant system; Reboot; Recovery delay; Reliability;

D O I：

10.1007/s13198-017-0680-y

中图分类号：

学科分类号：

摘要：

The present paper deals with the reliability analysis of fault tolerant multi-component machining system having multi-warm spares and reboot provisioning. The time-to-breakdown and repair of active/spare units and server are assumed to be exponentially distributed. The reboot process and recovery delay are also counterfeited exponentially distributed. The spectral method is adapted to compute the transient state probabilities of the system states. In order to predict the transient behavior of the system, various performance measures such as reliability function, mean-time-to-failure (MTTF) , etc. have been established. To show the practicability of the developed model, we present numerical results by taking an illustration. The sensitivity of various system parameters on the reliability function and MTTF has also been examined. © 2017, The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden.

引用

页码：377 / 400

页数：23

共 42 条

[1]

Amari S.V., Dugan J.B., Mishra R.B., Optimal reliability of systems subject to imperfect fault-coverage, IEEE Trans Reliab, 48, 3, pp. 275-284, (1999)

[2]

Amari S.V., Pham H., Dill G., Optimal design of K-out-of-N:G subsystems subject to imperfect fault coverage, IEEE Trans Reliab, 53, 4, pp. 567-575, (2004)

[3]

Dai Y.S., Levitin G., Wang X., Optimal task partition and distribution in grid service system with common cause failure, Future Gener Comput Syst, 23, 2, pp. 209-218, (2007)

[4]

Delia M.C., Rafael P.O., A warm standby system under shocks and repair governed by MAPs, Reliab Eng Syst Saf, 152, pp. 331-338, (2016)

[5]

Hajeeh M.A., Reliability and availability of a standby system with common cause failure, Int J Oper Res, 11, 3, pp. 343-363, (2011)

[6]

Hsu Y.L., Lee S.L., Ke J.C., A repairable system with imperfect fault coverage and reboot: Bayesian and asymptotic estimation, Math Comput Simul, 79, 7, pp. 2227-2239, (2008)

[7]

Hsu Y.L., Ke J.C., Liu T.H., Standby system with general repair, reboot delay, switching failure and unreliable repair facility—a statistical standpoint, Math Comput Simul, 81, 11, pp. 2400-2413, (2011)

[8]

Jain M., Rani S., Availability of hardware–software systems with standbys, switching failures and reboot delay, Math Today, 27, pp. 100-116, (2011)

[9]

Jain M., Agrawal S.C., Naresh P., Fuzzy reliability evaluation of a repairable system with imperfect coverage, reboot and common-cause shock failure, Int J Eng, 25, 3, pp. 231-238, (2012)

[10]

Jain M., Availability prediction of imperfect fault coverage system with reboot and common cause failure, Int J Math Oper Res, 17, 3, pp. 374-397, (2013)

← 1 2 3 4 5 →