Diagnostically Oriented Experiments and Modelling of Switched Reluctance Motor Dynamic Eccentricity
Jakub Lorencki1, Stanisław Radkowski1, Szymon Gontarz1
1Institute of Vehicles and Construction Machinery Engineering, Faculty of Automotive and Construction Machinery Engineering, Warsaw University of Technology, Narbutta 84, 02-524 Warszawa, Poland.
This study compares experimental and model research on switched reluctance motors (SRMs) under normal and dynamic eccentricity fault conditions. Analyzing phase current in the frequency domain helps improve SRM reliability and applications.
Area of Science:
- Electrical Engineering
- Mechanical Engineering
- Motor Diagnostics
Background:
- Switched reluctance motors (SRMs) are increasingly used in demanding applications.
- Understanding motor behavior under fault conditions is crucial for reliability.
- Dynamic eccentricity is a common mechanical fault in rotating machinery.
Purpose of the Study:
- To compare experimental and modeling results for SRMs under normal and dynamic eccentricity fault conditions.
- To analyze the impact of dynamic rotor eccentricity on SRM phase current.
- To validate mathematical models against experimental data for fault diagnosis.
Main Methods:
- Experimental testing of an SRM on a test bench.
- Mathematical modeling using quasi-static and dynamic analysis of a 2D geometry model.
- Frequency domain analysis of phase current using Fast Fourier Transform (FFT).
- Time domain waveform comparison.
Main Results:
- Phase current is significantly affected by dynamic rotor eccentricity.
- Modeling results closely matched experimental data for both normal and faulty states.
- FFT analysis effectively identified fault-induced changes in the frequency spectrum of phase current.
Conclusions:
- The research provides a reliable method for diagnosing dynamic eccentricity faults in SRMs.
- Findings can enhance the maintenance and reliability of SRMs in special purpose vehicles, military, and industrial applications.
- Accurate modeling is essential for predicting and mitigating fault effects in SRMs.
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