Condition based maintenance optimization for multi-component systems using proportional hazards model

被引:226
作者
Tian, Zhigang [1 ]
Liao, Haitao [2 ]
机构
[1] Concordia Univ, Concordia Inst Informat Syst Engn, Montreal, PQ H3G 2W1, Canada
[2] Univ Tennessee, Dept Nucl Engn, Dept Ind & Informat Engn, Knoxville, TN 37996 USA
基金
美国国家科学基金会; 加拿大自然科学与工程研究理事会;
关键词
Condition based maintenance; Multi-component systems; Proportional hazards model; Economic dependency; REPLACEMENT; POLICIES;
D O I
10.1016/j.ress.2010.12.023
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The objective of condition based maintenance (CBM) is typically to determine an optimal maintenance policy to minimize the overall maintenance cost based on condition monitoring information. The existing work reported in the literature only focuses on determining the optimal CBM policy for a single unit. In this paper, we investigate CBM of multi-component systems, where economic dependency exists among different components subject to condition monitoring. The fixed preventive replacement cost, such as sending a maintenance team to the site, is incurred once a preventive replacement is performed on one component. As a result, it would be more economical to preventively replace multiple components at the same time. In this work, we propose a multi-component system CBM policy based on proportional hazards model (PHM). The cost evaluation of such a CBM policy becomes much more complex when we extend the PHM based CBM policy from a single unit to a multicomponent system. A numerical algorithm is developed in this paper for the exact cost evaluation of the PHM based multi-component CBM policy. Examples using real-world condition monitoring data are provided to demonstrate the proposed methods. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:581 / 589
页数:9
相关论文
共 22 条
[1]   Modified block-replacement for multiple-component systems [J].
Archibald, TW ;
Dekker, R .
IEEE TRANSACTIONS ON RELIABILITY, 1996, 45 (01) :75-83
[2]  
Banjevic D, 2001, INFOR, V39, P32
[3]   A condition-based maintenance policy with non-periodic inspections for a two-unit series system [J].
Castanier, B ;
Grall, A ;
Bérenguer, C .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2005, 87 (01) :109-120
[4]   A SURVEY OF MAINTENANCE MODELS FOR MULTIUNIT SYSTEMS [J].
CHO, DI ;
PARLAR, M .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1991, 51 (01) :1-23
[5]   Design of PH-based accelerated life testing plans under multiple-stress-type [J].
Elsayed, E. A. ;
Zhang, Hao .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2007, 92 (03) :286-292
[6]   ESTIMATION OF THIN-OXIDE RELIABILITY USING PROPORTIONAL HAZARDS MODELS [J].
ELSAYED, EA ;
CHAN, CK .
IEEE TRANSACTIONS ON RELIABILITY, 1990, 39 (03) :329-335
[7]   An extended linear hazard regression model with application to time-dependent dielectric breakdown of thermal oxides [J].
Elsayed, EA ;
Liao, HT ;
Wang, XD .
IIE TRANSACTIONS, 2006, 38 (04) :329-340
[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]  
Jardine A.K.S., 2006, Maintenance, Replacement and Reliability
[10]   A review on machinery diagnostics and prognostics implementing condition-based maintenance [J].
Jardine, Andrew K. S. ;
Lin, Daming ;
Banjevic, Dragan .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2006, 20 (07) :1483-1510