Predictive Monitoring of Incipient Faults in Rotating Machinery: A Systematic Review from Data Acquisition to Artificial Intelligence
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11831-022-09727-6.pdf
Reference292 articles.
1. Li Y, Wang X, Liu Z, Liang X, Si S (2018) The entropy algorithm and its variants in the fault diagnosis of rotating machinery: a review. IEEE Access 6:66723–66741
2. Li H, Xu F, Liu H, Zhang X (2015) Incipient fault information determination for rolling element bearing based on synchronous averaging reassigned wavelet scalogram. Measurement 65:1–10
3. Liu R, Yang B, Zio E, Chen X (2018) Artificial intelligence for fault diagnosis of rotating machinery: a review. Mech Syst Signal Process 108:33–47
4. Shen C, He Q, Kong F, Tse PW (2013) A fast and adaptive varying-scale morphological analysis method for rolling element bearing fault diagnosis. Proc Inst Mech Eng C J Mech Eng Sci 227(6):1362–1370
5. Cui L, Huang J, Zhang F (2017) Quantitative and localization diagnosis of a defective ball bearing based on vertical-horizontal synchronization signal analysis. IEEE Trans Ind Electron 64(11):8695–8706
Cited by 18 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-loss nonlinear independent component estimation for augmenting explainable vibration samples of rotating machinery faults;Neurocomputing;2024-12
2. An integrated gear tooth crack analysis of coupled electromechanical model: A complexity-based approach;Chaos, Solitons & Fractals;2024-09
3. Rotating machine bearing health prognosis using a data driven approach based on KS‐density and BiLSTM;IET Science, Measurement & Technology;2024-08-04
4. Additive fault diagnosis techniques in rotor systems: a state-of-the-art review;Sādhanā;2024-06-27
5. Rotodynamics Multi-Fault Diagnosis through Time Domain Parameter Analysis with MLP: A Comprehensive Study;2024 International Workshop on Artificial Intelligence and Machine Learning for Energy Transformation (AIE);2024-05-20
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