Iterative Algorithm‐Induced Deep‐Unfolding Networks for Interpretable Fault Detection of Permanent Magnet Synchronous Motor

Fault detection in permanent magnet synchronous motors (PMSMs) is essential for ensuring their operational reliability. However, existing high‐accuracy algorithms, especially those based on neural networks, frequently face challenges such as poor interpretability and decreased accuracy in noisy envi...

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Bibliographic Details

Published in:	IET renewable power generation Vol. 19; no. 1
Main Authors:	Wang, Yueqi, Li, Dongdong, Huang, Dongmei, Hu, Wei, Song, Wei
Format:	Journal Article
Language:	English
Published:	01.01.2025
ISSN:	1752-1416, 1752-1424
Online Access:	Get full text
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