Health indicators for remaining useful life prediction of complex systems based on long short-term memory network and improved particle filter
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality
Reference44 articles.
1. Robust incipient fault detection of complex systems using data fusion;Wei;IEEE Trans Instrum Meas,2020
2. Performance degradation based on importance change and application in dissimilar redundancy actuation system;Zhang;Mathematics,2022
3. A novel transfer gear life prediction method by the cross-condition health indicator and nested hierarchical binary-valued network;Chen;Reliab Eng Syst Saf,2023
4. A deep learning framework for sensor-equipped machine health indicator construction and remaining useful life prediction;Yan;Comput Ind Eng,2022
5. Feature Fusion based Ensemble Method for remaining useful life prediction of machinery;Wang;Appl Soft Comput,2022
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