Stator Inter- Turn Fault Diagnosis in Permanent Magnet Synchronous Motor
- Resource Type
- Conference
- Authors
- Halder, Sudip; Bhat, Sunil; Bhaumik, Chirabrata; Rakshit, Raj
- Source
- 2020 IEEE First International Conference on Smart Technologies for Power, Energy and Control (STPEC) Smart Technologies for Power, Energy and Control (STPEC), 2020 IEEE First International Conference on. :1-6 Sep, 2020
- Subject
- Power, Energy and Industry Applications
Transportation
Circuit faults
Stator windings
Time-frequency analysis
Torque
Permanent magnet motors
Indexes
Windings
Condition monitoring
Permanent magnet synchronous motors (PMSM)
Stator shorted turn fault
Short Time Fourier Transform (STFT)
Discrete Wavelet Transform (DWT)
- Language
With the need for perfect machinery functions in an optimum and cost-effective way, an obvious consequence is a huge need of monitoring those systems to detect the faults at a very early stage. In the context of electrical machine applications, it has been noticed that permanent magnet synchronous motors (PMSMs) are being preferred in many cases because of it's higher energy efficiency compared to induction motors. Hence online monitoring and diagnostics of these motors have become very important. Motor current signature analysis (MCSA) in time-frequency domain has been proposed for the diagnosis of stator inter-turn fault because with MCSA there is no need for placing sensors on the machine itself and faults can be diagnosed from far away from the machine by analyzing the stator's current signature. Additionally pulsating electromagnetic torque that oscillates at twice the line the frequency has also been presented as an indication of stator turn fault.