关键词: 贮存寿命预测, 鲸鱼优化算法, 支持向量机, 接触电阻

Abstract:

Accurate prediction of the storage life of electromagnetic relays for missiles has important practical significance for the operation of national defense systems.In order to improve the prediction accuracy of the storage life of electromagnetic relay used in missiles, a prediction model based on the whale optimization algorithm support vector machine (WOA-SVM) is proposed.On the basis of the traditional support vector machine (SVM) model, the whale optimization algorithm (WOA) is introduced to optimize the penalty factor c and kernel function parameter g,and the required WOA-SVM prediction model is built.At the same time,the moth-flame optimization algorithm support vector machine (MFO-SVM) model and the single SVM model are used for comparative study.The simulation results show that WOA-SVM prediction model, for the storage life prediction of electromagnetic relay for missiles,is superior to other selected comparison models.

Key words: storage life prediction, whale optimization algorithm (WOA), support vector machine (SVM), contact resistance