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

Abstract

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

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

XU Zhuofei, ZHANG Haiyan, REN Linghui. Automatic fault diagnosis method for receiving paper unit in printing press based on GLCM and SVM[J]. Computer Engineering and Applications, 2013, 49(10): 18-21.

徐卓飞，张海燕，任玲辉. 基于GLCM与SVM的印刷机收纸故障诊断方法[J]. 计算机工程与应用, 2013, 49(10): 18-21.

[1]	ZHANG Bo, XU Liming, HUANG Zhiwei, YAO Xiaopeng. Multi-objective GANs Pareto Optimality Algorithm Using Gradient Strategy [J]. Computer Engineering and Applications, 2021, 57(9): 89-95.
[2]	RAN Rong, XU Xinghua, QIU Shaohua, CUI Xiaopeng, OUYANG Bin. Review of Crack Detection Methods Based on Deep Convolutional Neural Networks [J]. Computer Engineering and Applications, 2021, 57(9): 23-35.
[3]	HU Wentao, CHEN Xiuhong. Low-Rank Projection Learning Based on Neighbor Graph [J]. Computer Engineering and Applications, 2021, 57(7): 209-214.
[4]	LIN Ronglai, TANG Bingying, CHEN Ming. Data Augmentation Algorithm for Bearings Faults Diagnosis [J]. Computer Engineering and Applications, 2021, 57(7): 269-278.
[5]	YANG Peiwei, ZHOU Yuhong, XING Gang, TIAN Zhiqiang, XU Xiayu. Applications of Convolutional Neural Network in Biomedical Image [J]. Computer Engineering and Applications, 2021, 57(7): 44-58.
[6]	HAN Weiyu, CHENG Longsheng. Research on Roling Bearing Failure Mode Classification Based on MTS and SVM [J]. Computer Engineering and Applications, 2021, 57(6): 239-246.
[7]	WEN Jiebin, YANG Wenzhong, MA Guoxiang, ZHANG Zhihao, LI Hailei. Micro-expression Recognition Based on Apex Frame Optical Flow and Convolutional Autoencoder [J]. Computer Engineering and Applications, 2021, 57(4): 127-133.
[8]	CHEN Mingyue, LIU Sanyang. Application of Adaptive Manifold Learning in Fault Diagnosis [J]. Computer Engineering and Applications, 2021, 57(3): 247-252.
[9]	XU Xianfeng, CAI Lulu, ZHANG Li. Photovoltaic Power Generation Prediction Algorithm Based on MLP and DBN [J]. Computer Engineering and Applications, 2021, 57(3): 266-272.
[10]	LI Junxia, ZHANG Qin, ZHENG Guimei. Overview of Human Posture Recognition by Ultra-wideband Radar [J]. Computer Engineering and Applications, 2021, 57(3): 14-23.
[11]	LU Wei, LIU Dan, SHAO Min, WU Yangdong. Application of Improved Mask R-CNN Network in Medical Image Recognition and Segmentation [J]. Computer Engineering and Applications, 2021, 57(24): 234-241.
[12]	AN Weichao, YAN Ting, ZHANG Nan, ZHANG Shan, XIANG Jie, CAO Rui, WANG Bin. Application of Pathological Image Texture Analysis in MSI Prediction of Gastric Cancer [J]. Computer Engineering and Applications, 2021, 57(24): 205-211.
[13]	LI Ya, HOU Yandong, LIU Chang. Adaptive Optimal Fault-Tolerant Control Based on Fault Degree [J]. Computer Engineering and Applications, 2021, 57(23): 295-302.
[14]	ZHANG De, LIN Qingyu, GUO Maozu. Review of Single Image Super-Resolution Based on Deep Learning [J]. Computer Engineering and Applications, 2021, 57(22): 28-41.
[15]	CHEN Fujian, XIE Weixin, XIA Ting. Adaptive Anti-occlusion Target Tracking Algorithm Based on LCT+ [J]. Computer Engineering and Applications, 2021, 57(22): 190-198.

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

基于GLCM与SVM的印刷机收纸故障诊断方法

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics