Application of simplified convolutional neural networks for initial stator winding fault detection of the PMSM drive using different raw signal data
Abstract Permanent magnet synchronous motors (PMSM) have become one of the most substantial components of modern industrial drives. These motors, like all the others, can unfortunately undergo various failures, causing production line downtime and resulting losses. Accordingly, it is necessary to de...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-07-01
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| Series: | IET Electric Power Applications |
| Online Access: | https://doi.org/10.1049/elp2.12066 |