DocumentCode :
2314288
Title :
Design and building of data warehouse for steam turbine-generator set
Author :
Ou, Jian ; Sun, Cai-Xin ; Zhang, Bide
Author_Institution :
Key Lab. of High Voltage Eng. & Electr. New Technol., Chongqing Univ., China
fYear :
2004
fDate :
19-22 Sept. 2004
Firstpage :
12
Lastpage :
14
Abstract :
Turbine generator set is the key equipment in a power system. Keeping the turbine generator set working under safe and reliable condition as long as possible is a subject which draws much attention in engineering field and research field. Online monitoring is a means commonly used. Due to the long running time of an online monitoring system, a large amount of complete equipment information is gained that is very useful to condition-based maintenance and data mining of faults. Data warehouse technology, which is the core of turbine generator set diagnosis information memory and reading, is introduced in this paper. The method of design and building of a data warehouse applied to online monitoring and diagnosis is presented Also.
Keywords :
boilers; condition monitoring; data mining; data warehouses; electric machine analysis computing; maintenance engineering; power system faults; reliability; turbogenerators; condition-based maintenance; data mining; data warehouse design; information memory diagnosis; online monitoring; power system faults; steam turbine-generator; turbine generator core; turbine reliablity; turbine safety; Buildings; Condition monitoring; Data mining; Data warehouses; Design methodology; Power engineering and energy; Power generation; Power system reliability; Reliability engineering; Turbines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Insulation, 2004. Conference Record of the 2004 IEEE International Symposium on
ISSN :
1089-084X
Print_ISBN :
0-7803-8447-4
Type :
conf
DOI :
10.1109/ELINSL.2004.1380422
Filename :
1380422
Link To Document :
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