Using Rule Quality Measures for Rule Base Refinement in Knowledge-Based Predictive Maintenance Systems

Author:

Cao Qiushi1,Zanni-Merk Cecilia1ORCID,Samet Ahmed2,de Beuvron François de Bertrand2,Reich Christoph3

Affiliation:

1. LITIS, INSA Rouen, Normandie Université, Saint-Étienne-du-Rouvray, France;

2. ICUBE/SDC Team (UMR CNRS 7357), Illkirch, France;

3. Cloud Research Lab, Institute for Cloud Computing and IT Security (IFCCITS), Hochschule Furtwangen University, Furtwangen, Germany

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Information Systems,Software

Cited by 13 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. Explainable Predictive Maintenance: A Survey of Current Methods, Challenges and Opportunities;IEEE Access;2024

2. Predictive Maintenance Approaches in Industry 4.0: A Systematic Literature Review;2023 IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE);2023-12-14

3. Predictive Maintenance Approaches in Industry 4.0: A Systematic Literature Review;2023 IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE);2023-12-14

4. Fault Diagnosis and Prognosis Modeling Methods in Predictive Maintenance: A Systematic Review;2023 26th ACIS International Winter Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD-Winter);2023-07-05

5. Detecting shifts in Conway–Maxwell–Poisson profile with deviance residual-based CUSUM and EWMA charts under multicollinearity;Statistical Papers;2023-02-15

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