计算机工程与应用 ›› 2013, Vol. 49 ›› Issue (10): 18-21.

• 博士论坛 • 上一篇    下一篇

基于GLCM与SVM的印刷机收纸故障诊断方法

徐卓飞,张海燕,任玲辉   

  1. 西安理工大学,西安 710048
  • 出版日期:2013-05-15 发布日期:2013-05-14

Automatic fault diagnosis method for receiving paper unit in printing press based on GLCM and SVM

XU Zhuofei, ZHANG Haiyan, REN Linghui   

  1. Xi’an University of Technology, Xi’an 710048, China
  • Online:2013-05-15 Published:2013-05-14

摘要: 提出了印刷画面纹理分析与支持向量机相结合的故障诊断技术,应用于印刷机收纸单元,主要内容包括:采集收纸堆的实时工作图像并进行前处理,通过灰度共生矩阵提取图像纹理特征,针对实际工况利用SVM对纹理特征进行了分析,监测收纸单元的工作状态并判断故障种类,实现了收纸故障的特征提取和故障模式识别。

关键词: 纹理特征, 支持向量机, 印刷机, 故障诊断, 图像处理

Abstract: An automatic fault diagnosis method for receiving paper unit in printing press is given in this paper.The following content are included in this method:Collect the real-time image of receiving paper unit and extract the texture features of image based on Gray Level Co-occurrence Matrix;Analyze the feature and realize the automatic classifying of faults with support vector machine.

Key words: texture feature, Support Vector Machine(SVM), printing press, fault diagnosis, image processing