Long short-term memory autoencoder-based anomaly detection system for electric motors
Predictive maintenance (PdM) systems have the potential to detect underlying issues in electric motors, and this can allow them to prevent production downtime and loss of manufacturing yield. However, majority of the PdM systems for electric motors that have been proposed so far are unsuitable for i...
| 第一著者: | |
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| フォーマット: | 学位論文 |
| 言語: | 英語 |
| 出版事項: |
2022
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| 主題: | |
| オンライン･アクセス: | http://eprints.utm.my/102257/1/LabibSharrarMSKE2022.pdf |