Towards Machine Learning and Low Data Rate IoT for Fault Detection in Data Driven Predictive Maintenance

Author:

Richardson Wesley Bevan,Meyer Johan,Von Solms Sune

Publisher

IEEE

Cited by 8 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 scopes on microgrid predictive maintenance: Potential frameworks, challenges, and prospects;Renewable and Sustainable Energy Reviews;2024-02

2. An Industrial and Public Power Grids Malfunction Detection Towards Data Driven;2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2023-12-29

3. Fault diagnosis and self-healing for smart manufacturing: a review;Journal of Intelligent Manufacturing;2023-07-06

4. Predictive Maintenance in Photovoltaic Systems Using Ensemble ML Empirical Analysis;2023 Fourteenth International Conference on Ubiquitous and Future Networks (ICUFN);2023-07-04

5. How can applications of blockchain and artificial intelligence improve performance of Internet of Things? – A survey;Computer Networks;2023-04

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