An explainable intelligence fault diagnosis framework for rotating machinery-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

An explainable intelligence fault diagnosis framework for rotating machinery

Published:2023-07 Issue: Volume:541 Page:126257
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Yang Daoguang,Karimi Hamid Reza,Gelman Len

Funder

HORIZON EUROPE Marie Sklodowska-Curie Actions

Ministero dell’Istruzione, dell’Università e della Ricerca

China Scholarship Council

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference41 articles.

1. A time series transformer based method for the rotating machinery fault diagnosis;Jin;Neurocomputing,2022

2. Mix-vaes: A novel multisensor information fusion model for intelligent fault diagnosis;Wang;Neurocomputing,2022

3. A review on the application of blind deconvolution in machinery fault diagnosis;Miao;Mech. Syst. Signal Process.,2022

4. Performance supervised plant-wide process monitoring in industry 4.0: A roadmap;Jiang;IEEE Open J. Ind. Electron. Soc.,2020

5. Optimized design of parity relation-based residual generator for fault detection: Data-driven approaches;Jiang;IEEE Trans. Industr. Inf.,2020

Cited by 20 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. Rotating machinery fault diagnosis method based on multi-level fusion framework of multi-sensor information;Information Fusion;2025-01

2. Adaptive feature consolidation residual network for exemplar-free continuous diagnosis of rotating machinery with fault-type increments;Advanced Engineering Informatics;2024-10

3. Explainable AI in Manufacturing and Industrial Cyber–Physical Systems: A Survey;Electronics;2024-09-03

4. A new multi-modal time series transformation method and multi-scale convolutional attention network for railway wagon bearing fault diagnosis;Journal of Vibration and Control;2024-08-26

5. Prior knowledge-infused Self-Supervised Learning and explainable AI for Fault Detection and Isolation in PEM electrolyzers;Neurocomputing;2024-08

同舟云学术

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