重庆理工大学学报（自然科学版）2017，Vol.31Issue(5)：1-5,5.DOI:10.3969/j.issn.1674-8425(z).2017.05.001
基于模糊支持向量机的变速器新产品疲劳失效辨识方法
Study of Fatigue Failure Identification Method for Transmission New Product Based on Fuzzy Support Vector Machine
摘要
Abstract
A series of unexpected failure of the test system, such as broken teeth, broken shaft, etc., which affect the operation safety of the test system, is easy to appear in the process of transmission test, and for timely and accurate identification of a new product in the process of fatigue test failure, using fuzzy support vector machine method based on the characteristics of the new product, we get the subordinating degree function through training.And we blur the fatigue failure symptom to determine the fatigue failure of membership degree.This method can effectively solve the lack of new product failure characteristics of samples, and have an accurate identification of new products transmission fatigue failure.The test results show that the method has high accuracy in the identification of the fatigue failure of the transmission new products.关键词
模糊支持向量机/疲劳失效/特征辨识/变速器新产品Key words
fuzzy support vector machine/fatigue failure/feature recognition/the transmission of new product分类
交通工程引用本文复制引用
米林,王苏磊,谭伟,张勇..基于模糊支持向量机的变速器新产品疲劳失效辨识方法[J].重庆理工大学学报（自然科学版）,2017,31(5):1-5,5.基金项目
重庆市科技支撑示范工程资助项目(cstc2014fazktjcsf6003) （cstc2014fazktjcsf6003）
重庆理工大学科研启动基金资助项目(2015ZD06) （2015ZD06）
