Title :
Study on Power Transformer Fault Test Sequence Optimization Based on Multi-colony Ant Colony Algorithm
Author :
Wei, Luyuan ; Cui, Xia
Author_Institution :
Chinese Univ. of Min. & Technol., Xuzhou, China
Abstract :
This paper studied power transformer fault test sequence optimization based on ant colony algorithm. Power transformer fault test sequence model based on ant colony algorithm was proposed by study of fault tree analysis. Power transformer fault test path was optimized with global optimization and heuristic optimal of ant colony algorithm. Fault probability was introduced power transformer fault test sequence system, which was inspired by the fault tree analysis method. Multi-colony ant algorithm was used to realize test sequence optimization. Transformer tap-changer fault diagnosis simulation based on ant colony algorithm showed that this method is feasible and effective.
Keywords :
fault diagnosis; fault trees; optimisation; power transformer testing; probability; fault probability; fault tree analysis; heuristic optimal algorithm; multicolony ant colony algorithm; power transformer fault test sequence optimization; Algorithm design and analysis; Cities and towns; Fault trees; Optimization; Power transformer insulation; Reliability; ant colony algorithm; fault tree; multi-colony; power transformer; test sequence;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2011 International Conference on
Conference_Location :
Zhejiang
Print_ISBN :
978-1-4577-0676-9
DOI :
10.1109/IHMSC.2011.101
