A multiple conditions dual inputs attention network remaining useful life prediction method
Author:
Funder
National Natural Science Foundation of China
Liaoning Revitalization Talents Program
Publisher
Elsevier BV
Reference37 articles.
1. A remaining useful life prediction method with long-short term feature processing for aircraft engines;Deng;Appl. Soft Comput.,2020
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3. Trend attention fully convolutional network for remaining useful life estimation;Fan;Reliab. Eng. Syst. Saf.,2022
4. Dual channel feature attention-based approach for RUL prediction considering the spatiotemporal difference of multisensor data;Gao;IEEE Sensor. J.,2023
5. Remaining useful life estimation for rolling bearings using MSGCNN-TR;Guo;IEEE Sensor. J.,2022
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1. An aircraft engine remaining useful life prediction method based on predictive vector angle minimization and feature fusion gate improved transformer model;Journal of Manufacturing Systems;2024-10
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