An improved Bayesian network method for fault diagnosis
Author:
Publisher
Elsevier BV
Subject
Control and Systems Engineering
Reference28 articles.
1. The Bhopal gas tragedy-a perspective;Bisarya;Journal of Loss Prevention in the Process Industries,2005
2. Improved canonical correlation analysis-based fault detection methods for industrial processes;Chen;Journal of Process Control,2016
3. A plant-wide industrial process control problem;Downs;Computers & chemical engineering,1993
4. Fault detection and diagnosis using empirical mode decomposition based principal component analysis;Du;Computers & Chemical Engineering,2018
5. Posbist fault tree analysis of coherent systems;Huang;Reliability Engineering & System Safety,2004
Cited by 11 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. Dual‐noise autoencoder combining pseudo‐labels and consistency regularization for process fault classification;The Canadian Journal of Chemical Engineering;2024-09-03
2. Pattern analysis of auto parts failures in the after-sales service network; an interconnected approach of association rules mining and Bayesian networks in the automotive industry;International Journal of Quality & Reliability Management;2023-11-17
3. Application of Radar Fault Diagnosis Method Based on Bayesian Network;2022 4th International Conference on Robotics and Computer Vision (ICRCV);2022-09-25
4. A framework to automate fault detection and diagnosis based on moving window principal component analysis and Bayesian network;Reliability Engineering & System Safety;2021-11
5. Prognostics and Health Management in Nuclear Power Plants: An Updated Method-Centric Review With Special Focus on Data-Driven Methods;Frontiers in Energy Research;2021-06-15
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