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
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