A CONDITION BASED MAINTENANCE MODEL AND ITS PARAMETER ESTIMATION
In condition based maintenance practice, the primary concern of maintenance managers is how long the item monitored can survive given condition information obtained to date. This relates to the concept of the condition residual time where the survival time is dependent upon the age of the item monitored, but also upon the condition information obtained. Once such a probability density function of the condition residual time is available, a consequential decision model can be readily established to recommend a best maintenance policy based upon all information available to date. This paper reports on a development of a Condition Based Maintenance model. The residual life prediction model is developed on the basis of filtering theory. Model parameter estimation based on Bayes theory is discussed. And the decision model is established in terms of a criterion function of interest. At last, a case study has also been briefly discussed.
Condition Based Maintenance Bayes Estimation Maintenance Decision
Yunxian Jia Xiaolei Niu Hongmei Wang
Department of Management Engineering, Shijiazhuang Mechanical Engineering College , 97 Hepingxi Road University of Hebei Economic and Trade, 47 Xuefu Road, Shijiazhuang 050063, P.R.China
国际会议
北京
英文
744-749
2008-10-27（万方平台首次上网日期，不代表论文的发表时间）