Remaining useful life prediction framework of equipment based on improved golden jackal algorithm assisted-LSTM
It provides a challenge for remaining useful life prediction due to the complexity of the engine degradation process. Therefore, this paper proposes an improved method for engine remaining useful life prediction with long and short memory neural networks (LSTM) and extraction of health indicators fo...
Main Authors: | Ronghua Ma, Yongliang Yuan |
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Format: | Article |
Language: | English |
Published: |
AIP Publishing LLC
2024-01-01
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Series: | AIP Advances |
Online Access: | http://dx.doi.org/10.1063/5.0184113 |
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