Reliability Analysis and Condition‐based Maintenance for Failure Processes with Degradation‐dependent Hard Failure Threshold

In this study, we introduce reliability models for a device with two dependent failure processes: soft failure due to degradation and hard failure due to random shocks, by considering the declining hard failure threshold according to changes in degradation. Owing to the nature of degradation for complex devices such as microelectromechanical systems, a degraded system is more vulnerable to force and stress during operation. We address two different scenarios of the changing hard failure threshold due to changes in degradation. In Case 1, the initial hard failure threshold value reduces to a lower level as soon as the overall degradation reaches a critical value. In Case 2, the hard failure threshold decreases gradually and the amount of reduction is proportional to the change in degradation. A condition-based maintenance model derived from a failure limit policy is presented to ensure that a device is functioning under a certain level of degradation. Finally, numerical examples are illustrated to explain the developed reliability and maintenance models, along with sensitivity analysis. Copyright © 2016 John Wiley & Sons, Ltd.

[1]  Min Xie,et al.  Stochastic modelling and analysis of degradation for highly reliable products , 2015 .

[2]  Hoang Pham,et al.  Reliability modeling of multi-state degraded systems with multi-competing failures and random shocks , 2005, IEEE Trans. Reliab..

[3]  Alaa Elwany,et al.  Residual Life Predictions in the Absence of Prior Degradation Knowledge , 2009, IEEE Transactions on Reliability.

[4]  Nozer D. Singpurwalla,et al.  Survival in Dynamic Environments , 1995 .

[5]  P. V. Suresh,et al.  PREVENTIVE MAINTENANCE SCHEDULING FOR A SYSTEM WITH ASSURED RELIABILITY USING FUZZY SET THEORY , 1994 .

[6]  Wei Huang,et al.  A generalized SSI reliability model considering stochastic loading and strength aging degradation , 2004, IEEE Transactions on Reliability.

[7]  Yaping Wang,et al.  Imperfect preventive maintenance policies for two-process cumulative damage model of degradation and random shocks , 2011, Int. J. Syst. Assur. Eng. Manag..

[8]  Georgia-Ann Klutke,et al.  The availability of inspected systems subject to shocks and graceful degradation , 2002, IEEE Trans. Reliab..

[9]  William Q. Meeker,et al.  Statistical tools for the rapid development and evaluation of high-reliability products , 1995 .

[10]  Ming J. Zuo,et al.  Reliability-Based Design of Systems Considering Preventive Maintenance and Minimal Repair , 1997 .

[11]  Qianmei Feng,et al.  Reliability modeling for dependent competing failure processes with changing degradation rate , 2014 .

[12]  G. J. Wang,et al.  A shock model with two-type failures and optimal replacement policy , 2005, Int. J. Syst. Sci..

[13]  Hoang Pham,et al.  An inspection-maintenance model for systems with multiple competing processes , 2005, IEEE Transactions on Reliability.

[14]  Ling-Yau Chan,et al.  Maintenance of continuously monitored degrading systems , 2006, Eur. J. Oper. Res..

[15]  Yada Zhu,et al.  Availability optimization of systems subject to competing risk , 2010, Eur. J. Oper. Res..

[16]  U. Sumita,et al.  ANALYSIS OF MARKOV RENEWAL SHOCK MODELS , 1995 .

[17]  V. Jayabalan,et al.  Replacement policies: a near optimal algorithm , 1995 .

[18]  H. Pham,et al.  Invited reviewImperfect maintenance , 1996 .

[19]  Loon Ching Tang,et al.  A Distribution-Based Systems Reliability Model Under Extreme Shocks and Natural Degradation , 2011, IEEE Transactions on Reliability.

[20]  XieMin,et al.  Stochastic modelling and analysis of degradation for highly reliable products , 2015 .

[21]  David W. Coit,et al.  Reliability and maintenance modeling for systems subject to multiple dependent competing failure processes , 2010 .

[22]  D. M. Tanner,et al.  Wear Mechanisms in a Reliability Methodology , 2003, SPIE MOEMS-MEMS.

[23]  Hongzhou Wang,et al.  A survey of maintenance policies of deteriorating systems , 2002, Eur. J. Oper. Res..

[24]  Lei Jiang,et al.  Reliability and Maintenance Modeling for Dependent Competing Failure Processes With Shifting Failure Thresholds , 2012, IEEE Transactions on Reliability.

[25]  Haijun Li Stochastic Comparison of Age-Dependent Block Replacement Policies , 2005 .

[26]  David W. Coit,et al.  Simultaneous Quality and Reliability Optimization for Microengines Subject to Degradation , 2009, IEEE Transactions on Reliability.

[27]  C. Joseph Lu,et al.  Using Degradation Measures to Estimate a Time-to-Failure Distribution , 1993 .

[28]  P. Clews,et al.  Failure modes in surface micromachined microelectromechanical actuators , 1998, 1998 IEEE International Reliability Physics Symposium Proceedings. 36th Annual (Cat. No.98CH36173).

[29]  Lee-Eng Shirley Lin,et al.  An extension of the block preventive maintenance policy for stochastically failing items , 1982 .

[30]  Nan Chen,et al.  Condition-based maintenance using the inverse Gaussian degradation model , 2015, Eur. J. Oper. Res..

[31]  Hong-Zhong Huang,et al.  Reliability analysis on competitive failure processes under fuzzy degradation data , 2011, Appl. Soft Comput..

[32]  A. W. Marshall,et al.  Shock Models and Wear Processes , 1973 .

[33]  Jeffrey C. Lagarias,et al.  Convergence Properties of the Nelder-Mead Simplex Method in Low Dimensions , 1998, SIAM J. Optim..

[34]  Yaping Wang,et al.  A Multi-Objective Optimization of Imperfect Preventive Maintenance Policy for Dependent Competing Risk Systems With Hidden Failure , 2011, IEEE Transactions on Reliability.

[35]  J.-K. Chan,et al.  Modeling repairable systems with failure rates that depend on age and maintenance , 1993 .

[36]  Naftali A. Langberg,et al.  Repair replacement policies , 1993, Journal of Applied Probability.

[37]  B. Bergman Optimal replacement under a general failure model , 1978, Advances in Applied Probability.

[38]  Loon Ching Tang,et al.  Degradation-Based Burn-In Planning Under Competing Risks , 2012, Technometrics.

[39]  Shey-Huei Sheu,et al.  An extended optimal replacement model of systems subject to shocks , 2006, Eur. J. Oper. Res..