Title :
Safety evaluation on equipment state maintenance in power supply enterprise based on RS-SVM theory
Author :
Yang, Yi ; Du, Qiushi
Author_Institution :
Dept. of Inf. Eng., Shenyang Inst. of Eng., Shenyang, China
Abstract :
The stability of power network has an important significance along with the rapid growth of demand and supply of electric power. The traditional maintenance system has defects in insufficient maintenance, excess maintenance, and high maintenance cost. In this paper, to solve the problems, the evaluation method of equipment condition-based maintenance in the electric power supply enterprise was presented, and evaluation index; system of equipment was constructed in distribution network. Reduction of indicators were made based on the method of rough set, classified the status of power supply equipment by using support vector machine algorithm It had been proved that the method is practicality and feasibility by analysis on equipment condition-based maintenance in the electric power supply enterprise of Hengshui.
Keywords :
distribution networks; power system stability; safety; supply and demand; support vector machines; Hengshui; RS-SVM theory; distribution network; electric power supply and demand; evaluation index; power network stability; power supply enterprise; safety evaluation; state maintenance; support vector machine algorithm; Computers; Helium; Indexes; Phase locked loops; Software; Software reliability; Support vector machine classification; condition-based maintenance; power supply equipment; rough set; support vector machine;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
DOI :
10.1109/WCICA.2010.5554821
