Data-driven prognostics and health management (PHM) for predictive maintenance of industrial components and systems-Reference-Cited by-同舟云学术

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Data-driven prognostics and health management (PHM) for predictive maintenance of industrial components and systems

Published:2024 Issue: Volume: Page:113-137
ISSN:
Container-title:Risk-Informed Methods and Applications in Nuclear and Energy Engineering
language:en
Short-container-title:

Author:

Zio Enrico

Publisher

Elsevier

Reference76 articles.

1. Industrie 4.0: hit or hype?[industry forum];Drath;IEEE Ind. Electron. Mag.,2014

2. Design principles for industrie 4.0 scenarios;Hermann,2016

3. Industrie 4.0: Smart Manufacturing for the Future;MacDougall,2014

4. Evaluating maintenance policies by quantitative modeling and analysis;Zio;Reliab. Eng. Syst. Safe.,2013

5. MIL-STD 721C, Definition of Terms for Reliability and Maintainability;U. S.-D. o. Defense,1981

Cited by 1 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. Machine Learning and IoT for Predicting the Productivity of MRI Equipment;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

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