Neural Network-Based Diagnostic Tool for Detecting Stator Inter-Turn Faults in Line Start Permanent Magnet Synchronous Motors

Neural Network-Based Diagnostic Tool for Detecting Stator Inter-Turn Faults in Line Start Permanent Magnet Synchronous Motors

Three-phase line-start permanent magnet synchronous motors are considered among the most promising types of motors in industrial applications. However, these motors experience several faults, which may cause significant financial losses. This paper proposed a feed-forward neural network-based diagno...

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Bibliographic Details
Main Authors: Luqman S. Maraaba, Zakariya M. Al-Hamouz, Abdulaziz S. Milhem, M. A. Abido
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Electric motors
fault currents
fault detection
finite element analysis
Online Access:https://ieeexplore.ieee.org/document/8740936/

Internet

https://ieeexplore.ieee.org/document/8740936/

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