Condition-based maintenance for systems with aging and cumulative damage based on proportional hazards model

被引:62
作者
Liu, Bin [1 ]
Liang, Zhenglin [2 ]
Parlikad, Ajith Kumar [2 ]
Xie, Min [1 ,3 ]
Kuo, Way [1 ]
机构
[1] City Univ Hong Kong, Dept Syst Engn & Engn Management, Kowloon, Hong Kong, Peoples R China
[2] Univ Cambridge, Dept Engn, Inst Mfg, Cambridge CB3 0FS, England
[3] City Univ Hong Kong, Shenzhen Res Inst, Shenzhen, Peoples R China
基金
英国工程与自然科学研究理事会; 中国国家自然科学基金;
关键词
Condition-based maintenance; Aging and degradation; Proportional hazards model; Unknown distribution parameters; Cumulative damage; FAILURE TIME DATA; PREVENTIVE MAINTENANCE; DEGRADATION PROCESSES; DEGRADING COMPONENTS; POLICY; OPTIMIZATION; REPLACEMENT;
D O I
10.1016/j.ress.2017.04.010
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper develops a condition-based maintenance (CBM) policy for systems subject to aging and cumulative damage. The cumulative damage is modeled by a continuous degradation process. Different from previous studies which assume that the system fails when the degradation level exceeds a specific threshold, this paper argues that the degradation itself does not directly lead to system failure, but increases the failure risk of the system. Proportional hazards model (PHM) is employed to characterize the joint effect of aging and cumulative damage. CBM models are developed for two cases: one assumes that the distribution parameters of the degradation process are known in advance, while the other assumes that the parameters are unknown and need to be estimated during system operation. In the first case, an optimal maintenance policy is obtained by minimizing the long-run cost rate. For the case with unknown parameters, periodic inspection is adopted to monitor the degradation level of the system and update the distribution parameters. A case study of Asphalt Plug Joint in UK bridge system is employed to illustrate the maintenance policy. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:200 / 209
页数:10
相关论文
共 34 条
[1]  
Banjevic D, 2001, INFOR, V39, P32
[2]   Probability distribution of energetic-statistical size effect in quasibrittle fracture [J].
Bazant, ZP .
PROBABILISTIC ENGINEERING MECHANICS, 2004, 19 (04) :307-319
[3]   A condition-based maintenance of a dependent degradation-threshold-shock model in a system with multiple degradation processes [J].
Caballe, N. C. ;
Castro, I. T. ;
Perez, C. J. ;
Lanza-Gutierrez, J. M. .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2015, 134 :98-109
[4]   Condition-based maintenance using the inverse Gaussian degradation model [J].
Chen, Nan ;
Ye, Zhi-Sheng ;
Xiang, Yisha ;
Zhang, Linmiao .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2015, 243 (01) :190-199
[5]   FRACTURE STABILITY, R-CURVES AND STRENGTH VARIABILITY [J].
COOK, RF ;
CLARKE, DR .
ACTA METALLURGICA, 1988, 36 (03) :555-562
[6]   Structured Replacement Policies for Components with Complex Degradation Processes and Dedicated Sensors [J].
Elwany, Alaa H. ;
Gebraeel, Nagi Z. ;
Maillart, Lisa M. .
OPERATIONS RESEARCH, 2011, 59 (03) :684-695
[7]   Residual-life distributions from component degradation signals: A Bayesian approach [J].
Gebraeel, NZ ;
Lawley, MA ;
Li, R ;
Ryan, JK .
IIE TRANSACTIONS, 2005, 37 (06) :543-557
[8]   Optimal condition based maintenance with imperfect information and the proportional hazards model [J].
Ghasemi, A. ;
Yacout, S. ;
Ouali, M. S. .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2007, 45 (04) :989-1012
[9]   Reliability Estimation from Linear Degradation and Failure Time Data With Competing Risks Under a Step-Stress Accelerated Degradation Test [J].
Haghighi, Firoozeh ;
Bae, Suk Joo .
IEEE TRANSACTIONS ON RELIABILITY, 2015, 64 (03) :960-971
[10]   A periodic inspection and replacement policy for systems subject to competing failure modes due to degradation and traumatic events [J].
Huynh, K. T. ;
Barros, A. ;
Berenguer, C. ;
Castro, I. T. .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2011, 96 (04) :497-508