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Cold-rolled flatness actuator efficiency coefficient obtaining based on data noise reduction |
SUN Jie, SHAN Peng-fei, PENG Wen, ZHANG Dian-hua |
The State Key Laboratory of Rolling and Automation, Northeastern University, Shenyang 110819, Liaoning, China |
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Abstract Aiming at the problem that it is difficult to obtain accurate flatness control efficiency coefficients because of the large noise in the actual data of the rolling process,a data noise reduction method combining ensemble empirical modal decomposition(EEMD) and wavelet transform(WT) is presented. Firstly,EEMD is used to decompose the original data and the intrinsic mode function(IMF) divided into two parts, the noise dominant components and the signal dominant components. Then,the wavelet transform denoising method is used to conduct noise reduction of the noise dominant components. Finally,the flatness actuator efficiency coefficients are calculated from the reconstructed data by the structural equation model(SEM) method. The actual data of a 1 450 mm five-stand cold tandem rolling production line was used for testing,the results show that the EEMD-WT-SEM method can effectively reduce the data noise and improve the accuracy of the efficiency coefficient.
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Received: 26 August 2020
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