A deep learning-based approach for electrical equipment remaining useful life prediction
Abstract Electrical equipment maintenance is of vital importance to management companies. Efficient maintenance can significantly reduce business costs and avoid safety accidents caused by catastrophic equipment failures. In the current context, predictive maintenance (PdM) is becoming increasingly...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2022-07-01
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| Series: | Autonomous Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s43684-022-00034-2 |