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Multi-Phase Degradation Modeling Based on Uncer-tain Random Process for Remaining Useful Life Prediction Under Triple Uncertainties

Xuerui Cao Kaixiang Peng Ruihua Jiao

自动化学报(英文版)2025,Vol.12Issue(6):1129-1143,15.
自动化学报(英文版)2025,Vol.12Issue(6):1129-1143,15.DOI:10.1109/JAS.2024.124791

Multi-Phase Degradation Modeling Based on Uncer-tain Random Process for Remaining Useful Life Prediction Under Triple Uncertainties

Multi-Phase Degradation Modeling Based on Uncer-tain Random Process for Remaining Useful Life Prediction Under Triple Uncertainties

Xuerui Cao 1Kaixiang Peng 2Ruihua Jiao3

作者信息

  • 1. Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education,the School of Automation and Electrical Engineering,University of Science and Technology Beijing,Beijing 100083,China
  • 2. Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education,the School of Automation and Electrical Engineering,University of Science and Technology Beijing,Beijing 100083||Key Laboratory of Metallurgical Industry Safety and Risk Prevention and Control,Ministry of Emergency,University of Science and Technology Beijing,Beijing 100083,China
  • 3. Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education,the School of Automation and Electrical Engineering,University of Science and Technology Beijing,Beijing 100083,China||AVIC Xi'an Aviation Brake Technology Co.,Ltd.,Xi'an 710065,China
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摘要

关键词

Measurement errors/multi-phase degradation model/random jumps/remaining useful life(RUL)prediction/uncer-tain random process

Key words

Measurement errors/multi-phase degradation model/random jumps/remaining useful life(RUL)prediction/uncer-tain random process

引用本文复制引用

Xuerui Cao,Kaixiang Peng,Ruihua Jiao..Multi-Phase Degradation Modeling Based on Uncer-tain Random Process for Remaining Useful Life Prediction Under Triple Uncertainties[J].自动化学报(英文版),2025,12(6):1129-1143,15.

基金项目

This work was supported by the National Key Research and Development Program of China(2021YFB3301200)and the National Natural Science Foundation of China(NSFC)(U21A20483,62373040,62203042). (2021YFB3301200)

自动化学报(英文版)

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