A comprehensive review on fault detection and analysis in the pumping system
Author:
Affiliation:
1. Department of Energy and Power Electronics, VIT Vellore, Vellore, India
2. Research and Development, ESAB India Limited, Singapore, Singapore
Publisher
Informa UK Limited
Subject
Building and Construction,Renewable Energy, Sustainability and the Environment
Link
https://www.tandfonline.com/doi/pdf/10.1080/01430750.2022.2056917
Reference186 articles.
1. Artificial Neural Networks Based Optimization Techniques: A Review
2. Novel method for detecting cavitation in centrifugal pump with frequency converter
3. Life Cycle Assessment of a solar thermal system in Spain, eco-design alternatives and derived climate change scenarios at Spanish and Chinese National levels
4. The application of acoustic emission for detecting incipient cavitation and the best efficiency point of a 60kW centrifugal pump: case study
5. Acoustic Emission Signal Analysis and Artificial Intelligence Techniques in Machine Condition Monitoring and Fault Diagnosis: A Review
Cited by 4 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. Trend Prediction and Operation Alarm Model Based on PCA-Based MTL and AM for the Operating Parameters of a Water Pumping Station;Sensors;2024-08-21
2. A Review on the Classification of Partial Discharges in Medium-Voltage Cables: Detection, Feature Extraction, Artificial Intelligence-Based Classification, and Optimization Techniques;Energies;2024-02-28
3. Mining equipment diagnostics in a mine shaft dewatering system – case study;Journal of Konbin;2023-09-29
4. Life Cycle Cost Analysis of Pumping System through Machine Learning and Hidden Markov Model;Processes;2023-07-19
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