Local demagnetization fault diagnosis for Surface Permanent Magnet based marine propulsion motor

Condition monitoring of marine propulsion motors is important in improving the overall reliability of a marine electrical power system. The focus of this research is to accurately model and diagnose the local demagnetization fault in a Surface mount Permanent Magnet Synchronous Motors (SPMM). The techniques used here for fault detection is based on time-frequency based signal analysis mainly Hilbert Huang Transform and Discrete Wavelet Transform. In addition to this, the proposed research deals with torque analysis and also analyzes the machine current using symmetrical components. The main aim of this research is to identify the appropriate technique that would be able to pinpoint the fault even when the fault passes undetected referring the level of the fault to be very low. For simulation purpose, a 3-phase, low speed SPMM was modelled in a FEA platform using Maxwell 17.

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