Research on Fault Detection and Diagnosis of Stator Windings in Permanent Magnet Synchronous Motor
Abstract
The output torque and rotational speed of vehicle motor will change frequently under the unstable conditions of dynamic change of load and speed, which is more likely to lead to system failure and more difficult to diagnose. Therefore, a simulation model and test platform for multi-fault fast switching of permanent magnet synchronous motor were established in this paper, and the operating data of permanent magnet synchronous motor under different faults were obtained. Based on the analysis of common fault diagnosis techniques and development trends, a hierarchical diagnosis scheme was proposed, which combines data layer, feature layer and decision layer. The fault diagnosis strategy of permanent magnet synchronous motor under variable load and speed conditions were studied. The validity and correctness of the fault simulation model and the hierarchical diagnosis strategy were verified by comparing the experimental results with the simulation analysis. The results of fault identification had acceptable accuracy and reached the expected goal of the research.
Keywords
permanent magnet synchronous motor, fault diagnosis, particle swarm optimization, neural network
DOI
10.12783/dteees/iceee2018/27846
10.12783/dteees/iceee2018/27846
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