A predictive association rule-based maintenance policy to minimize the probability of breakages: application to an oil refinery

Author:

Antomarioni Sara,Pisacane Ornella,Potena Domenico,Bevilacqua Maurizio,Ciarapica Filippo Emanuele,Diamantini Claudia

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Cited by 21 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. A Text-Based Predictive Maintenance Approach for Facility Management Requests Utilizing Association Rule Mining and Large Language Models;Machine Learning and Knowledge Extraction;2024-01-26

2. Maintenance in the downstream petroleum industry: A review on methodology and implementation;Computers & Chemical Engineering;2023-04

3. Combining natural language processing and multidimensional classifiers to predict and correct CMMS metadata;Computers in Industry;2023-02

4. Refinery 4.0, a Review of the Main Challenges of the Industry 4.0 Paradigm in Oil & Gas Downstream;Sensors;2022-11-25

5. Comparing data-driven meta-heuristics for the bi-objective Component Repairing Problem;2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech);2022-09-12

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