Prediction of electrical equipment failure rate based on improved drosophila optimization algorithm

Abstract

Aiming at the problem of low reliability of electric power equipment failure rate analyzed by using the data of statistical equipment, this paper puts forward health index, which is according to the actual operation status, the evaluation and maintenance of the equipment, to reflect the operation condition of the equipment, and to calculate the failure rate of the equipment. It adopts Improved Drosophila Optimization Algorithm to calculate the failure rate function of the equipment. The influence of the different maintenance methods and the change of the equipment performance on the failure rate have also be considered. By introducing age reduction factor, failure rate decline factor and the influence on the failure rate of the equipment after the maintenance, the equivalent service age of the equipment after the maintenance is determined, and the failure rate of the electrical equipment in the background of the state maintenance is realized prediction. Finally, after the analysis of the actual example, the results show that the algorithm and the prediction model have the validity and high efficiency.