LSTM-Based Broad Learning System for Remaining Useful Life Prediction

LSTM-Based Broad Learning System for Remaining Useful Life Prediction

Prognostics and health management (PHM) are gradually being applied to production management processes as industrial production is gradually undergoing a transformation, turning into intelligent production and leading to increased demands on the reliability of industrial equipment. Remaining useful...

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Bibliographic Details
Main Authors: Xiaojia Wang, Ting Huang, Keyu Zhu, Xibin Zhao
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Mathematics
Subjects:
remaining useful life (RUL) prediction
broad learning system (BLS)
long short-term memory (LSTM)
feature extraction
Online Access:https://www.mdpi.com/2227-7390/10/12/2066

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https://www.mdpi.com/2227-7390/10/12/2066

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