DocumentCode :
1073244
Title :
Condition monitoring techniques for electrical equipment-a literature survey
Author :
Han, Y. ; Song, Y.H.
Author_Institution :
Dept. of Electron. & Comput. Eng., Brunel Univ., London, UK
Volume :
18
Issue :
1
fYear :
2003
fDate :
1/1/2003 12:00:00 AM
Firstpage :
4
Lastpage :
13
Abstract :
Increasing interest has been seen in condition monitoring (CM) techniques for electrical equipment, mainly including transformer, generator, and induction motor in power plants, because CM has the potential to reduce operating costs, enhance the reliability of operation, and improve power supply and service to customers. Literatures are accumulated on developing intelligent CM systems with advanced practicability, sensitivity, reliability and automation. A literature survey is felt necessary with an aim to reflect the state of the art development in this important area. After introducing the concepts and functions of CM, this paper describes the popular monitoring methods for and research status of CM on transformer, generator, and induction motor, respectively. The paper also points out the potential benefits through the utilization of advanced signal processing and artificial intelligence techniques in developing novel CM schemes.
Keywords :
bibliographies; condition monitoring; electric generators; induction motors; machine testing; power transformer testing; advanced signal processing; artificial intelligence techniques; condition monitoring techniques; electrical equipment; generators; induction motors; literature survey; state of the art; transformers; Automation; Condition monitoring; Costs; Induction generators; Induction motors; Intelligent systems; Power generation; Power supplies; Power system reliability; Signal processing;
fLanguage :
English
Journal_Title :
Power Delivery, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8977
Type :
jour
DOI :
10.1109/TPWRD.2002.801425
Filename :
1159890
Link To Document :
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