A Multi-Level Selective Maintenance Strategy Combined to Data Mining Approach for Multi-Component System Subject to Propagated Failures
Author:
Publisher
Springer Science and Business Media LLC
Subject
Information Systems,Control and Systems Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11518-022-5525-9.pdf
Reference56 articles.
1. Accorsi R, Manzini R, Pascarella P, Patella M, Sassi S (2017). Data mining and machine learning for condition-based maintenance. Procedia Manufacturing 11: 1153–1161.
2. Agrawal R, Imieliński T, Swami A (1993). Mining association rules between sets of items in large databases. In Acm Sigmod Record 22(2): 207–216.
3. Baohui J, Yuxin W, Zheng-qing Y (2011). The research of data mining in AHM technology based on association rule. 2011 Prognostics and System Health Managment Confernece. Doi: https://doi.org/10.1109/PHM.2011.5939548.
4. Baptista M, Sankararaman S, de Medeiros I P, Nascimento Jr C, Prendinger H, Henriques E M (2018). Forecasting fault events for predictive maintenance using data-driven techniques and ARMA modeling. Computers & Industrial Engineering 115: 41–53.
5. Barlow R E, Proschan F (1996). Mathematical Theory of Reliability. Society for Industrial and Applied Mathematics, SIAM.
Cited by 9 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. Applying association rules in the maintenance and reliability of physical systems: A review;Computers & Industrial Engineering;2024-08
2. Optimization of selective maintenance problem with stochastic durations in mission-oriented system subjecting to s-dependent competing risks;Expert Systems with Applications;2024-07
3. An optimal selective maintenance policy for multi-state series production systems by considering environment impact;Computers & Industrial Engineering;2024-04
4. Towards Optimizing Multi-Level Selective Maintenance via Machine Learning Predictive Models;Applied Sciences;2023-12-29
5. Joint production, maintenance and quality control chart optimization for a degrading manufacturing–reworking system with assignable causes;The International Journal of Advanced Manufacturing Technology;2023-12-08
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3