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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Bibliographic Details
Main Authors: Lixin Lu, Weihao Wang
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Sensors
Subjects:
fault diagnosis
permanent magnet DC motor
support vector machine
classification and regression tree
<i>k</i>-nearest neighbor
feature extraction
Online Access:https://www.mdpi.com/1424-8220/21/22/7505

Internet

https://www.mdpi.com/1424-8220/21/22/7505

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