A comprehensive approach to convolutional neural networks‐based condition monitoring of permanent magnet synchronous motor drives
Author:
Affiliation:
1. Department of Management and Engineering University of Padova Stradella S. Nicola 3 Vicenza Veneto 36100 Italy
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/elp2.12059
Reference35 articles.
1. A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches
2. Demagnetization Fault Indexes in Permanent Magnet Synchronous Motors—An Overview
3. Condition Monitoring and Fault Diagnosis of Electrical Motors—A Review
4. A Survey of Condition Monitoring and Protection Methods for Medium-Voltage Induction Motors
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