DocumentCode
3352162
Title
Digitized Hydroelectric Generating Unit Under the Framework of ICMMS and Its Application
Author
Yitao, C. ; Li Qing ; Fusheng, L. ; Li Zhaohui
Author_Institution
Sch. of Mech. & Electr. Eng., Wuhan Univ. of Sci. & Eng., Wuhan
fYear
2009
fDate
27-31 March 2009
Firstpage
1
Lastpage
5
Abstract
The automation development degrees of control, maintenance and technical management which are the main three technical domains in hydropower industry are unbalanced. The research and development of the condition monitoring and fault diagnosis systems of Hydroelectric Generating Units (HGU) are ruleless and disorderly in nowadays. And the acquiring and using methods about expert knowledge have become the bottleneck of the development of fault diagnosis of HGU. In order to solving these problems, a new thought is brought forward in this paper: a Digitized Hydroelectric Generating Unit is constructed under the framework of Intelligent Control Maintenance and Management System(ICMMS); and then, the optimal measuring points located layout and some deep diagnosis knowledge are obtained from full-states simulation based on full- states models of DHGU; furthermore, the equipment performance detecting and fault diagnosing can be carried through. This method can improve the maintenance automation of HGU and the integrated automation degrees of hydropower enterprises. The configuration of DHGU and its modeling methods are described in detail. The practice of these methods is indicated it can be applied widely.
Keywords
condition monitoring; fault diagnosis; hydroelectric generators; intelligent control; maintenance engineering; power generation control; automation development; condition monitoring; expert knowledge; fault diagnosis systems; haidigitized hydroelectric generating unit; hydropower industry; intelligent control maintenance system; intelligent control management system; maintenance automation; technical management; Automatic control; Automation; Condition monitoring; Electrical equipment industry; Fault diagnosis; Hydroelectric power generation; Industrial control; Intelligent control; Knowledge management; Research and development;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
Conference_Location
Wuhan
Print_ISBN
978-1-4244-2486-3
Electronic_ISBN
978-1-4244-2487-0
Type
conf
DOI
10.1109/APPEEC.2009.4918281
Filename
4918281
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