Title :
Study on the Maintenance Strategy of Power Equipment Based on Optimal LCC
Author :
Lu Kai ; Zhang Yao ; Suo Minggui
Author_Institution :
Sch. of Electr. Power, South China Univ. of Technol., Guangzhou, China
Abstract :
From the perspective of optimal LCC(Life cycle cost), this paper studied the method to develop a reasonable maintenance strategy of power equipment. The deterioration theory in the field of mechanical engineering was led in, based on that we analyzed the failure rates of each repair period and established the model of the optimal problem, then, through a case study, we got the optimal maintenance strategy by using GA, finally, the optimization result and the influence factors are analyzed on a briefly way.
Keywords :
failure (mechanical); genetic algorithms; life cycle costing; maintenance engineering; mechanical engineering; power apparatus; GA; deterioration theory; failure rates; genetic algorithms; life cycle cost; maintenance strategy; mechanical engineering; optimal LCC; power equipment; repair period; Gallium; Genetic algorithms; Optimization; Preventive maintenance; Reliability; Weibull distribution;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6253-7
DOI :
10.1109/APPEEC.2011.5748474
