停工期
预测性维护
可靠性工程
状态监测
计划维护
预防性维护
运行维护
灾难性故障
过程(计算)
状态维修
主动维护
工程类
风险分析(工程)
计算机科学
法律工程学
业务
计算机化维修管理系统
物理
电气工程
热力学
操作系统
出处
期刊:Asset Management & Maintenance Journal
日期:2011-01-01
卷期号:24 (1): 42-
被引量:4
摘要
Unexpected equipment failures can be expensive and potentially catastrophic, resulting in unplanned production downtime, costly replacement of parts and safety and environmental concerns. Predictive Maintenance (PdM) is a process for monitoring equipment during operation in order to identify any deterioration, enabling maintenance to be planned and operational costs reduced. Rolling bearings are critical components used extensively in rotating equipment and, if they fail unexpectedly, can result in a catastrophic failure with associated high repair and replacement costs. Vibration based condition monitoring can be used to detect and diagnose machine faults and form the basis of a Predictive Maintenance strategy.
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