Diagnosis for systems with multi-component wear interactions-Reference-Cited by-同舟云学术

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Diagnosis for systems with multi-component wear interactions

Published:2017-06 Issue: Volume: Page:
ISSN:
Container-title:2017 IEEE International Conference on Prognostics and Health Management (ICPHM)
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Author:

Assaf R.,Do P.,Scarf P.,Nefti-Meziani S.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7990620/7998291/07998312.pdf?arnumber=7998312

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. Ensemble Deep Learning for Detecting Onset of Abnormal Operation in Industrial Multi-component Systems;International Journal of Prognostics and Health Management;2022-10-24

2. Modernizing risk assessment: A systematic integration of PRA and PHM techniques;Reliability Engineering & System Safety;2020-12

3. System-level prognostics and health management: A graph convolutional network–based framework;Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability;2020-07-14

4. Taking Complexity into Account: A Structured Literature Review on Multi-component Systems in the Context of Predictive Maintenance;Information Systems;2020

5. Failure interaction models for multicomponent systems: a comparative study;SN Applied Sciences;2018-11-27

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