A deep learning-based approach for electrical equipment remaining useful life prediction

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...

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Bibliographic Details
Main Authors: Huibin Fu, Ying Liu
Format: Article
Language:English
Published: Springer 2022-07-01
Series:Autonomous Intelligent Systems
Subjects:
Predictive maintenance
Electrical equipment
Remaining useful life
Machine learning
Deep learning
Online Access:https://doi.org/10.1007/s43684-022-00034-2

Internet

https://doi.org/10.1007/s43684-022-00034-2

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