航空滚动轴承典型缺陷的分类识别  

Typical Defects Classification and Recognition for Aircraft Rolling Bearings

作　　者：王晓强[1] 张东英[1] 崔凤奎[1] 

机构地区：[1]河南科技大学机电工程学院,河南洛阳471003

出　　处：《河南科技大学学报（自然科学版）》2013年第6期13-18,4,共6页Journal of Henan University of Science And Technology:Natural Science

基　　金：国防军工技术基础科研基金项目(科工技[2011]869号)

摘　　要：在分析航空滚动轴承典型缺陷形成原因的基础上,对缺陷分类识别模型的工作原理及组成、航空滚动轴承典型缺陷的特征分类及特征参数进行了研究。利用朴素贝叶斯分类器与图像处理技术相结合的方法,构建基于小样本数据的分类识别算法,对航空滚动轴承典型缺陷进行分类与识别。实验结果表明:该算法对航空滚动轴承典型缺陷具有较好的识别准确度。Based on analyzing the forming reasons of some typical defects of aircraft rolling bearings,the working principle of defects classification and recognition model,the characteristics classification and parameters were studied. Using the method of combing Bayes classifier and image processing technology,the classification and recognition algorithm based on small sample data was constructed,and the defects classification and recognition for aircraft rolling bearings were processed. The experimental results show that the algorithm has the effective recognition accuracy for the typical defects of aircraft rolling bearings.

关 键 词：滚动轴承 小样本 朴素贝叶斯分类器 分类识别 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术] TH133.33[自动化与计算机技术—计算机科学与技术]