Adaptive staged remaining useful life prediction method based on multi-sensor and multi-feature fusion-Reference-Cited by-同舟云学术

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Adaptive staged remaining useful life prediction method based on multi-sensor and multi-feature fusion

Published:2023-03 Issue: Volume:231 Page:109033
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Ta Yuntian,Li Yanfeng,Cai Wenan,Zhang Qianqian,Wang Zhijian^ORCID,Dong Lei,Du Wenhua

Publisher

Elsevier BV

Reference42 articles.

1. Recent advances in prognostics and health management for advanced manufacturing paradigms;Xia;Reliab Eng Syst Saf,2018

2. Bearing fault diagnosis method based on adaptive maximum cyclostationarity blind deconvolution;Wang;Mech Syst Sig Process,2022

3. Calendar ageing model of Li-ion battery combining physics-based and empirical approaches;Montaru;J Energy Storage,2022

4. Stochastic hybrid system approach to task-orientated remaining useful life prediction under time-varying operating conditions;Long;Reliab Eng Syst Saf,2022

5. A critical review of improved deep learning methods for the remaining useful life prediction of lithium-ion batteries;Wang;Energy Reports,2021

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3. Remaining useful life prediction method based on two-phase adaptive drift Wiener process;Reliability Engineering & System Safety;2025-06

4. Remaining Useful Life Prediction of Degraded Systems Based on Multiple Performance Indicators Constructed by Multiple Features;IEEE Sensors Journal;2025-06-01

5. A novel method for identifying sudden degradation changes in remaining useful life prediction for bearing;Expert Systems with Applications;2025-06

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