High-Speed Acquisition and Filtering of Yarn Signal

Article Preview

Abstract:

We have designed a photoelectric yarn signal acquisition system, which is based on the STM32 processor, having a sample rate up to 270kHz, and uploading data collection through synchronous parallel communication mode; Owing to the large noise of yarn signal and the unobviousness of yarn defect, we respectively adopting wiener filter and mean filter to filter this signal; The simulation result of matlab has manifested that both the wiener filter and mean filter can effectively decrease the noise level of the yarn signal and make the nep defects easier to identify, and that the wiener filter applies to application where the yarn speed is higher , while the mean filter is appropriate to the lower speed spinner.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1529-1534

Citation:

Online since:

September 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Qin Fang. Research and development of rotor spinner electrical control system based on multi-MCU and PLC[D]. Shanghai: Shanghai Jiaotong University, 2006: 1-5, in Chinese.

Google Scholar

[2] V. Carvalho, P. Cardoso, M. Belsley, R. Vasconcelos and F. Soares. Optical Yarn Hairiness Measurement System. Industrial Informatics, 2007 5th IEEE International Conference on: 2007, 359-364.

DOI: 10.1109/indin.2007.4384783

Google Scholar

[3] V. Carvalho, P. Cardoso, M. Belsley, R. Vasconcelos F. Soares and M. Belsley. Yarn Diameter Measurements Using Coherent Optical Signal Processing. Sensors Journal, IEEE[J] , 2008, 8(11) : 1785-1793.

DOI: 10.1109/jsen.2008.2005231

Google Scholar

[4] Kaiyu Zhu, Cunliang Yan, Mincong Zhang, et al. Comparison between time-frequency and analysis methods of yarn signal [J]. Journal of Textile Research, 2007, 28(2): 27-31, in Chinese.

Google Scholar

[5] Wannan Wang, Weiquan Wang, Wenjie Wang. Identification and classification of yarn neps based on wavelet transform. [J] Journal of Xi'an Jiaotong University, 1996, 30(9): 65-69, in Chinese.

Google Scholar

[6] Guojun Sheng, Yonggui Dong. Signal denoising and anomaly detection in an optical yarn quality measurement system [J]. Journal of Tsinghua University, 2010, 50(2): 229-231.

Google Scholar

[7] Pengfei Niu. Research and application of suppressing seismic exploration noise [D]. Jiling: Jiling University, 2012: 25-44, in Chinese.

Google Scholar

[8] Gang Peng, Zhiqiang Qin. Application practice of STM32 Series embedded MCU based on ARM Cortex-M3 [M]. Beijing: Publishing House of Electronics Industry. 2010: 2-4, in Chinese.

Google Scholar

[9] Trans. Qiheng Liu et al. Uster evenness tester manual [M]. Publishing House of Beijing textile standardization research institution. 1984: 39-46.

Google Scholar

[10] Yihua Li. Modern digital signal processing engineering assisted by MATLAB [M]. Xi'an: Xi'an Electronic and Science University Press 2010: 39-46, in Chinese.

Google Scholar

[11] Zishu He,Wei Xia. Modern digital signal processing and its application[M]. Beijing: Tsinghua University Press 2009: 134-139, in Chinese.

Google Scholar