RUL Prediction Method for Electrical Connectors With Intermittent Faults Based on an Attention-LSTM Model

Author:

Cheng Xianzhe1ORCID,Lv Kehong2,Zhang Yong2,Wang Lei1,Zhao Weihu1,Liu Guanjun2,Qiu Jing2

Affiliation:

1. College of Information and Communication, National University of Defense Technology, Changsha, China

2. College of Intelligence Science and Technology, National University of Defense Technology, Changsha, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Electronic, Optical and Magnetic Materials

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. DRLSTM-DA: a novel aeroengine remaining useful life prediction method based on deep optimization of multiple sensors information;Measurement Science and Technology;2024-06-27

2. Remaining Useful Life Prediction for Aero-Engine based on Ghost-LSTM Model;2024 36th Chinese Control and Decision Conference (CCDC);2024-05-25

3. RUL Prediction for Piezoelectric Vibration Sensors Based on Digital-Twin and LSTM Network;Mathematics;2024-04-19

4. AI-assisted Design for Reliability: Review and Perspectives;2024 25th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE);2024-04-07

5. Channel attention & temporal attention based temporal convolutional network: A dual attention framework for remaining useful life prediction of the aircraft engines;Advanced Engineering Informatics;2024-04

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