Fault Analysis and Detection in Electric Machinery

近年来，电机状态监测已成为一个非常重要的研究课题。现有的保护方案，如过流、过电压、接地故障等，有时在检测和隔离电动机和发电机中发生的故障方面是不充分的，而且速度很慢。这可能会对产品线造成损坏，中断非常重要的流程，导致重大的经济损失，在某些情况下甚至会造成生命损失。因此，在故障发生之初就对故障进行在线诊断是非常重要的，以免这些故障蔓延到大灾难中。

Condition based monitoring (CBM) of electric machines has become a very important research topic in recent years. Existing protective schemes such as over-current, over-voltage, earth-fault, etc. are sometimes inadequate and slow to detect and isolate faults developing in motors and generators. This may cause damage to the product line, interrupt very important processes, leading to heavy financial losses or under certain conditions even loss of life. Thus it is very important to diagnose faults on line and at their very inception, so that these faults do not propagate to major catastrophes.