Fault Diagnosis of Permanent Magnet DC Motors Based on Multi-Segment Feature Extraction

Fault Diagnosis of Permanent Magnet DC Motors Based on Multi-Segment Feature Extraction

For permanent magnet DC motors (PMDCMs), the amplitude of the current signals gradually decreases after the motor starts. Only using the signal features of current in a single segment is not conducive to fault diagnosis for PMDCMs. In this work, multi-segment feature extraction is presented for impr...

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Auteurs principaux: Lixin Lu, Weihao Wang
Format: article
Langue:EN
Publié: MDPI AG 2021
Sujets:
fault diagnosis
permanent magnet DC motor
support vector machine
classification and regression tree
<i>k</i>-nearest neighbor
feature extraction
Chemical technology
TP1-1185
Accès en ligne:https://doaj.org/article/4038e4d982a7445a8ba7e8e5ddea4bf7
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https://doaj.org/article/4038e4d982a7445a8ba7e8e5ddea4bf7

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