关键词: 阶次分析, 特征提取, 特征选择, 故障诊断

Abstract: During the process of new transmission products quality inspecting, the original fault feature vector dimension was too high to cause the detection in a low efficiency rate and low accuracy rate. To solve this problem, a feature extraction method based on order analysis theory together with a feature selection and classification method based on Genetic Algorithm-Back Propagation(GA-BP)algorithm were presented. The transmission　s order domain feature was extracted by using the order analysis theory, and it was composed with the domain's feature to form a feature vector set. The sum of the penalty factor and the distance ratio of inner-class and between-class was taken as the objective function value, the features of feature vector set were selected by Genetic Algorithm(GA), and the feature subset was obtained. Back-propagation neural network algorithmare was applied to classify the fault. The effectiveness of proposed algorithm was validated by experiments.

Key words: order analysis, feature extraction, feature selection, fault diagnosis, transmission