Fault Diagnosis Of Asynchronous Motor Based On Wavelet Analysis

With the progress of modern science and technology as well as the development of production system, the capacity of every set in generating equipments is increasing. As a result, It is extremely significant that motors run normally because this will ensure manufacture process safe and effective with higher quality and lower consumption. It can not only damage motors itself but also affect the normal work of the whole system if motors didn't work and are in faults. Furthermore, this will result in huge economic loss and even endangers people. Thus it is urgent for diagnosis and the warning of faults in early stages. We may discover the breakdowns early in order to prevent from worsening and to reduce loss by diagnosing and analyzing common breakdowns of motors. Now the fault diagnosis technology of motor is developed gradually based on understanding and the summary for change regularities of electricity signals and the non-electric signals.