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...

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Bibliographic Details
Main Authors: Ronghua Ma, Yongliang Yuan
Format: Article
Language:English
Published: AIP Publishing LLC 2024-01-01
Series:AIP Advances
Online Access:http://dx.doi.org/10.1063/5.0184113