Evaluation method of composite insulator operation state based on improved Bayesian fusion

Aiming at the feature that composite insulator condition assessment system needs to be considered for multifactor and has fuzziness and randomicity, a kind of evaluation method of composite insulator operation state based on improved Bayesian fusion is presented in this paper. Through analyzing the variables affecting on composite insulator operation state, such as material properties, electrical properties, mechanical properties, hydrophobicity and migration, environmental and climatic factors, et al, a layered assessment indices system for composite insulator operation state assessment is built. To determine the weight of the evaluation index, the unascertained mathematics theory to determine the weight values of assessment indicators is adopted. The impact of the experts´ subjectivity on the results of index weight is effectively reduced by constructing the unascertained rational numbers. Then the calculating method of transcendental distribution and conditional distribution in Bayesian method are determined by above method. And the multi-index model based on Bayesian fusion is applied to evaluate composite insulator operation state. The method is proved to be valid and practical by actual example.