DocumentCode :
1580769
Title :
Maintenance-oriented information digitalization of hydro turbine generator sets
Author :
Li, Zhao-Hui ; Yang, Xing-Bin ; Niu, Shao-Qing ; Malik, O.P.
Author_Institution :
Coll. of Hydro Power & Inf. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear :
2009
Firstpage :
1
Lastpage :
7
Abstract :
The technical documents, the experts´ knowledge and experiences, and the operating states of hydro turbine generator sets (HTGS) are digitalized with modern modeling and simulation as well as computer and network techniques. The digital information can be understood not only by human experts but also by intelligent equipment. They are comprehensively employed in the condition analysis and fault/degradation diagnosis of hydro electric generating facilities. The digitalization approaches of different information are briefly presented. The data format, the saving and update strategy and the referring method are illustrated. The applications of digital information in fault detection and diagnosis are discussed. A digitalization and condition analysis & diagnosis system for HTGS has been developed. This system has been successfully applied on 7 sets in Gezhouba Hydro Power Plant. A wide area network for condition monitoring and diagnosis of hydro power stations and substations in Gezhouba has been established. The condition monitoring and diagnosis can be carried out remotely.
Keywords :
condition monitoring; expert systems; fault diagnosis; hydroelectric power stations; machine testing; maintenance engineering; power generation faults; power system simulation; substations; turbogenerators; wide area networks; Gezhouba Hydro Power Plant; condition monitoring; data format; degradation diagnosis; expert knowledge system; fault diagnosis; hydro electric generating facilities; hydro power substations; hydro turbine generator sets; intelligent equipment; maintenance-oriented information digitalization; wide area network; Computational modeling; Computer networks; Computer simulation; Condition monitoring; Degradation; Electrical fault detection; Fault diagnosis; Humans; Hydraulic turbines; Power generation; 3D visualization; condition monitoring; digitalization; experiences; hydro turbine generator sets; knowledge; maintenance; modeling; simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power & Energy Society General Meeting, 2009. PES '09. IEEE
Conference_Location :
Calgary, AB
ISSN :
1944-9925
Print_ISBN :
978-1-4244-4241-6
Type :
conf
DOI :
10.1109/PES.2009.5275424
Filename :
5275424
Link To Document :
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