Implementation of Vibrations Faults Monitoring and Detection on Gas Turbine System Based on the Support Vector Machine Approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Microbiology (medical),Immunology,Immunology and Allergy
Link
https://link.springer.com/content/pdf/10.1007/s42417-023-01020-5.pdf
Reference43 articles.
1. Nayeri MR, Araabi BN, Yazdanpanah M, Moshiri B (2022) Design, implementation and evaluation of an expert system for operating regime detection in industrial gas turbine. Expert Syst Appl 203:117332
2. Pacheco-Chérrez J, Fortoul-Díaz JA, Cortés-Santacruz F, María Aloso-Valerdi L, Ibarra-Zarate DI (2022) Bearing fault detection with vibration and acoustic signals: comparison among different machine leaning classification methods. Eng Failure Anal 139:106515
3. Fahmi A-TWK, Kashyzadeh KR, Ghorbani S (2022) A comprehensive review on mechanical failures cause vibration in the gas turbine of combined cycle power plants. Eng Failure Anal 134:106094
4. Zhou D, Huang D, Hao J, Hang Wu, Chang C, Zhang H (2021) Fault diagnosis of gas turbines with thermodynamic analysis restraining the interference of boundary conditions based on STN. Int J Mech Sci 191:106053
5. Matić D, Kulić F, Pineda-Sánchez M, Kamenko I (2012) Support vector machine classifier for diagnosis in electrical machines: application to broken bar. Expert Syst Appl 39(10):8681–8689
Cited by 3 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. Fault Diagnosis of Hydropower Units Based on Gramian Angular Summation Field and Parallel CNN;Energies;2024-06-22
2. Incremental transfer learning for robot drilling state monitoring under multiple working conditions;Journal of Intelligent Manufacturing;2024-06-14
3. A Novel Machine Learning Based Fault Diagnosis Method for All Gas-Path Components of Heavy Duty Gas Turbines With the Aid of Thermodynamic Model;IEEE Transactions on Reliability;2024
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