DocumentCode :
1577576
Title :
Research and development of equipment failure prognostic system based on similarity modeling
Author :
Yukun, Lv ; Wen, Zhu ; Shuping, Chang ; Jianglong, Guo
Author_Institution :
Department of Power Engineering, North China Electric Power University, NCEPU, Baoding, China
fYear :
2012
Firstpage :
1
Lastpage :
4
Abstract :
The cost of equipment maintains accounts for a great proportion in the operation cost per year in the power plant. The equipment failure will cause enormous loss. If we could find out the signs of faults as early as possible, we can take effective measures to avoid the negative consequences. Alter the forced maintains into active ones, changing non-plan halt to planned halt. By this means, we can reduce the times of equipment failure to the least, prolong maintains intervals, decrease the time for maintains. So that the expanse of maintains can be reduced, the property of equipment can be improved, and the cost of fuels also can be saved. Meanwhile, the accountability and availability of the generators and the income of electricity sales can be raised up, which contributes to the less fines.
Keywords :
Failure Prognostic; Failure diagnosis; Similarity Modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
World Automation Congress (WAC), 2012
Conference_Location :
Puerto Vallarta, Mexico
ISSN :
2154-4824
Print_ISBN :
978-1-4673-4497-5
Type :
conf
Filename :
6321188
Link To Document :
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