flatness pattern recognition
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Author(s):  
Zhang Xiuling ◽  
Gao Wuyang ◽  
Lai Yongjin ◽  
Cheng Yantao ◽  
Hou Daibiao


2015 ◽  
Vol 83 (3) ◽  
pp. 1535-1548 ◽  
Author(s):  
Xiu-Ling Zhang ◽  
Long Cheng ◽  
Shuang Hao ◽  
Wu-Yang Gao ◽  
Yong-Jin Lai


2015 ◽  
Vol 22 (2) ◽  
pp. 560-566 ◽  
Author(s):  
Xiu-ling Zhang ◽  
Liang Zhao ◽  
Jia-yin Zang ◽  
Hong-min Fan


2014 ◽  
Vol 19 (10) ◽  
pp. 2837-2843 ◽  
Author(s):  
Xiu-ling Zhang ◽  
Liang Zhao ◽  
Wen-bao Zhao ◽  
Teng Xu


2014 ◽  
Vol 529 ◽  
pp. 415-419
Author(s):  
Ren Ren Bao ◽  
Jie Zhang ◽  
Hong Bo Li ◽  
Jun Wang ◽  
Yu Gang Chu ◽  
...  

Many complex waviness defects occur during the production process of ultra wide TCMs, flatness idex I can not meet the demands of analyzing these problems. Therefore flatness pattern recognition considering cubic patterns is introduced to provide a flatness evaluation parameter. Combining the calculation methods and statistical methods of evaluation parameters, a flatness assessment system is programmed with Matlab GUI, which provides functions such as representing the flatness of previous strips, recognizing the flatness error and making statistics. After verifying of actual flatness measured value, the system is proved to be effective, which provides theoretical basis and data support for mastering the flatness quality and optimizing flatness control parameters.





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