An anomaly detection method for rotating machinery monitoring based on the most representative data

Author:

Lis Antoni,Dworakowski Ziemowit,Czubak Piotr

Publisher

JVE International Ltd.

Subject

Mechanical Engineering,General Materials Science

Reference35 articles.

1. A smart and intuitive machine condition monitoring in the Industry 4.0 scenario;Dinardo;Measurement: Journal of the International Measurement Confederation,2018

2. Mechanical engineering in industry 4.0;Hamrol;Management and Production Engineering Review,2019

3. Industry 4.0: Tools and implementation;Sanghavi;Management and Production Engineering Review,2019

4. Defect recognition of buried pipeline based on approximate entropy and variational mode decomposition;Ju;Metrology and Measurement Systems,2019

5. Comparison of advanced signal-processing methods for roller bearing faults detection;Urbanek;Metrology and Measurement Systems,2012

Cited by 6 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 review of machine learning methods applied to structural dynamics and vibroacoustic;Mechanical Systems and Signal Processing;2023-10

2. A Novel Methodology for Unsupervised Anomaly Detection in Industrial Electrical Systems;IEEE Transactions on Instrumentation and Measurement;2023

3. Data Preprocessing Technology in Network Traffic Anomaly Detection;Proceedings of the 4th International Conference on Big Data Analytics for Cyber-Physical System in Smart City - Volume 1;2023

4. Detection of Abnormal Cardiac Response Patterns in Cardiac Tissue Using Deep Learning;Mathematics;2022-08-05

5. Review of fault detection techniques for predictive maintenance;Journal of Quality in Maintenance Engineering;2022-04-19

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