• DocumentCode
    523961
  • Title

    A new algorithm for the spectrum analysis of yarn signal

  • Author

    Lei, Zhu ; Xiaomei, Song ; Wenxia, Zhi ; Gaoqiang, Zhang

  • Author_Institution
    Xi´´an Polytech. Univ., Xi´´an, China
  • Volume
    1
  • fYear
    2010
  • fDate
    11-12 May 2010
  • Firstpage
    207
  • Lastpage
    210
  • Abstract
    The spectrum analysis is one of the key technologies for the detection of yarn quality in the textile industry. It was realized indirectly by the filter method in the past. But the reliability and stability of analog filter method can not be guaranteed, and the algorithm of digital filter method is complex and difficult to be realized. As for these problems, this paper puts forward a new spectrum analysis method, which uses the frequency-domain sampling DFT algorithm to directly calculate and analyze the spectrum of yarn signal, thereby the difficulties in designing and realizing many filters can be avoided. At the same time, the new algorithm can be achieved with low complexity and computing cost. Finally, the feasibility of the new algorithm is verified by MATLAB software simulation.
  • Keywords
    digital filters; discrete Fourier transforms; frequency-domain analysis; production engineering computing; signal sampling; spectral analysis; textile industry; MATLAB software simulation; analog filter method; digital filter method; frequency-domain sampling DFT algorithm; textile industry; yarn signal spectrum analysis method; Algorithm design and analysis; Digital filters; Frequency domain analysis; Sampling methods; Signal analysis; Signal design; Stability; Textile industry; Textile technology; Yarn; DFT; frequency-domain sampling; spectrum analysis; yarn signal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-7279-6
  • Electronic_ISBN
    978-1-4244-7280-2
  • Type

    conf

  • DOI
    10.1109/ICICTA.2010.139
  • Filename
    5523487