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ASME Press Select Proceedings
International Conference on Mechanical Engineering and Technology (ICMET-London 2011)
Editor
Garry Lee
Garry Lee
Information Engineering Research Institute
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ISBN:
9780791859896
No. of Pages:
906
Publisher:
ASME Press
Publication date:
2011
eBook Chapter
53 Printing Machine Condition Monitoring Based on Printing Image Texture
By
Ren Linghui
Faculty of Mechanical and Precision Instrument Engineering, Xi'an University of Technology
,
Ren Linghui
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Liu Kai
Faculty of Mechanical and Precision Instrument Engineering, Xi'an University of Technology
,
Liu Kai
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Haiyan Zhang
Faculty of Mechanical and Precision Instrument Engineering, Xi'an University of Technology
,
Haiyan Zhang
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Hou Heping
Faculty of Mechanical and Precision Instrument Engineering, Xi'an University of Technology
Hou Heping
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Page Count:
3
-
Published:2011
Citation
Linghui, R, Kai, L, Zhang, H, & Heping, H. "Printing Machine Condition Monitoring Based on Printing Image Texture." International Conference on Mechanical Engineering and Technology (ICMET-London 2011). Ed. Lee, G. ASME Press, 2011.
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The structure of Printing machine is complex, different parts have the same frequency signal in running, so it is very difficult to obtain the fault and status signal. In this paper we present a new method to monitor printing machine condition based on printing image texture. First we collect GATF images from different printing, then use gray level co-occurrence matrices (GLCM) to extract feature from GATF pictures, the features are classified by BP neural network methods, it can reflect part of printing machine condition.
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