Special Issue on Machine Fault Diagnostics and Prognostics

被引：0
|
作者：
Zhigang Tian [1 ]
Wilson Wang [2 ]
机构：
[1] University of Alberta
[2] Lakehead University
来源：
Chinese Journal of Mechanical Engineering | 2017年 / 06期
关键词：
Special Issue on Machine Fault Diagnostics and Prognostics;
D O I：
暂无
中图分类号：
TH17 [机械运行与维修];
学科分类号：
0802 ;
摘要：
Machine components and systems,such as gears,bearings,pipes,cutting tools and turbines,may experience various types of faults,such as breakage,crack,pitting,wear,corrosion.If not being properly monitored and treated,such faults can propagate and lead to machinery performance degradation,malfunction,or even severe component/system failure.It is significant to reliably detect machinery defects,evaluate their severity,predict the fault propagation trends,and schedule optimized maintenance
引用
收藏
页码：1283 / 1284
页数：2
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