Fuzzy Synthetic Evaluation on Operation Conditions of Power Equipment Based on Optimized Weights
Qing Chao Zhang, Chao Wei, Xiao Tian Zhang, Xin Hua Jia · Advanced materials research · 2013
The need for economic and reliable operation of power equipment has lead to the search for effective methods for evaluating the condition of equipments. In this paper, fuzzy synthetic evaluation based on optimized weights is proposed to enhance the precision and flexibility. This method makes dual optimization on the weights of the factors which have vital influence on the accuracy of condition evaluation. At first, the initial weights are adjusted by entropy method effectively. Then variable weight model is introduced to make correction according to the deviation of actual data and normal state. At last, the fuzzy evaluation thought is utilized to value the ultimate operation condition of power equipment. A numerical example of a condenser in generator set is provided to illustrate the feasibility and effectiveness of the proposed method.