Dynamic weight-based accelerated test modeling for fault degradation and lifetime analysis-Reference-Cited by-同舟云学术

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Dynamic weight-based accelerated test modeling for fault degradation and lifetime analysis

Published:2024-12 Issue: Volume:252 Page:110405
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Lu Ningyun,Huang Shoujin,Li Yang,Jiang Bin,Kaynak Okyay,Zio Enrico

Funder

National Key Clinical Specialty Discipline Construction Program of China

China Postdoctoral Science Foundation

National Key Research and Development Program of China

Tianjin Postdoctoral Science Foundation

National Aerospace Science Foundation of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference48 articles.

1. Prognosis for stochastic degrading systems with massive data: A data-model interactive perspective;Li;Reliab Eng Syst Saf,2023

2. Joint maintenance and spare part ordering from multiple suppliers for multicomponent systems using a deep reinforcement learning algorithm;Zheng;Reliab Eng Syst Saf,2024

3. Remaining useful life prediction of lithium-ion battery with adaptive noise estimation and capacity regeneration detection;Zhang;IEEE/ASME Trans Mechatronics,2022

4. Deep multisource parallel bilinear-fusion network for remaining useful life prediction of machinery;Wang;Reliab Eng Syst Saf,2023

5. Conditional joint distribution-based test selection for fault detection and isolation;Li;IEEE Trans Cybern,2021

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