Remaining Useful Life Estimation in Prognostics Using Deep Reinforcement Learning
In modern industrial systems, condition-based maintenance (CBM) has been wildly adopted as an efficient maintenance strategy. Prognostics, as a key enabler of CBM, involves the kernel task of estimating the remaining useful life (RUL) for engineered systems. Much research in recent years has focused...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10087275/ |