Textile Science and Engineering (한국섬유공학회지)

The Korean Fiber Society (한국섬유공학회)
권호 표지

On-line Quality Control System Using a Wavelet-Stochastic Hybrid Method

웨이블렛-확률과정 하이브리드 모델을 이용한 실시간 공정관리 시스템

  • Published : 2002.04.01
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Abstract

The hybrid system based on the stochastic and wavelet analyses was applied to a large amount of data from an actual yarn manufacturing process, and the performance was verified by applying the system developed. Ten yarn packages were measured on a Shlafhors $t_{R}$ open-end spinning machine at normal production conditions, providing data for a total of length of 250,000 m, or 25,000 m for each package. The massive amount of data could be reduced to a small fraction consisting of i) a set of statistical parameters for normal sub-blocks, ii) sets of statistical parameters on abnormal sub-blocks for characterizing yam and fabric defects and for providing their timedomain addresses, and iii) wavelet coefficients for abnormal sub-blocks. The reduction rate was approximately 99.9999% in the example at which 100 spindles could be monitored for 10 hours by storing only a small fraction of the data.a.

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References

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