Efficient Hairpin Winding Fault Detection Using Impedance Measurements

Efficient Hairpin Winding Fault Detection Using Impedance Measurements

This study investigates various hairpin winding faults in electric motors using impedance measurements. Both high-frequency and low-frequency impedances are measured to characterize winding fault conditions. This study proposes various techniques to extract distinctive feature patterns that are asso...

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Bibliographic Details
Main Authors: Yu Zhang, Yixin Huangfu, Youssef Ziada, Saeid Habibi
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Hairpin windings
fault detection
signal-based
machine learning
Online Access:https://ieeexplore.ieee.org/document/10231148/

Internet

https://ieeexplore.ieee.org/document/10231148/

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