预言
预测性维护
状态维修
工程类
可靠性工程
维护措施
计算机科学
状态监测
维修工程
预防性维护
故障检测与隔离
可靠性(半导体)
主动维护
纠正性维护
停工期
汽车工程
断层(地质)
电气工程
作者
Andrew Jardine,Daming Lin,Dragan Banjević
标识
DOI:10.1016/j.ymssp.2005.09.012
摘要
Condition-based maintenance (CBM) is a maintenance program that recommends maintenance decisions based on the information collected through condition monitoring. It consists of three main steps: data acquisition, data processing and maintenance decision-making. Diagnostics and prognostics are two important aspects of a CBM program. Research in the CBM area grows rapidly. Hundreds of papers in this area, including theory and practical applications, appear every year in academic journals, conference proceedings and technical reports. This paper attempts to summarise and review the recent research and developments in diagnostics and prognostics of mechanical systems implementing CBM with emphasis on models, algorithms and technologies for data processing and maintenance decision-making. Realising the increasing trend of using multiple sensors in condition monitoring, the authors also discuss different techniques for multiple sensor data fusion. The paper concludes with a brief discussion on current practices and possible future trends of CBM.
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