DocumentCode :
620574
Title :
Predictive maintenance strategy of variable period of power rransformer based on reliability and cost
Author :
Hu Zhikun ; Jiang Bin ; Yin Linzi ; Chen Xiaolong
Author_Institution :
Coll. of Autom. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
fYear :
2013
fDate :
25-27 May 2013
Firstpage :
4803
Lastpage :
4807
Abstract :
The maintenance strategy of identical period can decrease the reliability of power transformer with the increase of the maintenance times, and a predictive maintenance strategy of variable period of power transformer was presented considering low cost and high reliability. An evolutive model of fault rate , which life decreaseing factor and fault increasing factor were weighted to act as, was constructed. The cost model was built which the costs included small repairing cost, predictive maintenance cost and productive loss. And then an optimal model of predictive maintenance strategy was built bo overcome the shortcoming of predictive maintenance model with identical period which is not operational. Simulation that the distribution of fault time satisfy Weilbull distribution is carried out, and results show that the model is effective.
Keywords :
Weibull distribution; fault diagnosis; maintenance engineering; power transformers; reliability; Weilbull distribution; cost model; evolutive model; fault increasing factor; fault rate; fault time distribution; high reliability; identical variable period; life decreaseing factor; power transformer; predictive maintenance cost; predictive maintenance strategy; productive loss; small repairing cost; Educational institutions; Power transformers; Predictive maintenance; Predictive models; Reliability engineering; Weilbull distribution; power transformer; predictive maintenance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
Type :
conf
DOI :
10.1109/CCDC.2013.6561803
Filename :
6561803
Link To Document :
بازگشت