基于PCA和贝叶斯分类技术的滚动轴承质量检测方法

QUALITY DETECTING METHOD FOR ROLLING BEARING BASED ON PCA-BAYESIAN CLASSIFIER TECHNOLOGY

针对滚动轴承质量分类检测和贝叶斯分类器在实际应用中存在的问题,提出了基于PCA和贝叶斯分类技术的滚动轴承质量检测方法.理论分析和实验结果表明:基于PCA和贝叶斯方法的滚动轴承质量分类技术具有模型简单,检测速度快等优点,可以在实际应用中发挥有效作用.

Bayesian Classifiers can deal with uncertain problem effectively, and has surprisingly good classification performance. Pointing at the difficulty exist in implement of Bayesian Classifier and rolling hearing quality detecting, PCA based Bayesian Classifier is put forward, theory analysis and experiment result indicates that PCA based Bayesian Classifier for rolling bearing quality detecting has simple model, quick detecting speed, and can play effective effect in practical application.