Overview of turbogenerator monitoring and diagnostic systems

Author:

Polyakov R N,Krupenin N V,Kudryavcev I E,Belyaev A V,Belyaev I V,Romanov V V,Stebakov I N

Abstract

Abstract The article considers general approaches and modern monitoring systems for rotary machines of electric generating equipment. The main characteristics of monitoring and diagnostics systems of Russian and foreign manufacturers are presented. Modern trends in the construction of intelligent systems for analyzing the performance of turbo generators and predicting possible failures in order to minimize the cost of repairs and forced shutdown of equipment are outlined. The concept of adaptive-predictive use of rotary machines, the difference from existing systems is the presence of adaptive module that allows to react to unwanted changes in real time and increase the predicted residual resource or eliminate the predicted probability of initially refusal.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference19 articles.

1. Diagnostics of rotating equipment malfunctions;Edwards;Vibrations and digest,1998

2. Fault detection and diagnostics of rotating machines: a model-based approach;Abdel-Magied;Proceedings of the American control conference of 1998, June 26-26, 1998, Philadelphia,1998

3. Analysis of failures of gas turbine blades in a thermal power station;Vardar;Analysis of technical failures,2007

4. Failure of the last stage of turbine blades in a geothermal power plant;Kubiaka;Journal of failure analysis and prevention,2005

Cited by 2 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

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