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A Prognostic and Health Management Framework for Aero-Engines Based on a Dynamic Probability Model and LSTM Network

In this study, a prognostics and health management (PHM) framework is proposed for aero-engines, which combines a dynamic probability (DP) model and a long short-term memory neural network (LSTM). A DP model based on Gaussian mixture model-adaptive density peaks clustering algorithm, which has the a...

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Bibliografiske detaljer
Principais autores: Yufeng Huang, Jun Tao, Gang Sun, Hao Zhang, Yan Hu
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2022-06-01
Serier:Aerospace
Fag:
Online adgang:https://www.mdpi.com/2226-4310/9/6/316
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