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