Study on the Interlaboratory Comparison Test of the Electronic Test Method for Raw Silk

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Abstract:

To establish an international standard on the electronic testing method for raw silk, the interlaboratory comparison tests of the electronic testing method for raw silk are done. Five lots of soaked silk are sampled and tested by four machines of the same type in four labs, 13 items including the defects and evenness information of each lot of silk are measured. The analysis of variance and multiple comparison procedure are used to find whether there exist significant differences among the four machines; and the result shows that there are no significant differences among the machines in testing these items except for the item of IPMe by optical sensor. The reason for the difference is analyzed, and the measure for dismissing the difference is proposed.

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317-321

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December 2012

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Zhou Ying. Research and expectation of the electronic testing technique for raw silk. Silk Monthly. 2009, (9): 42-51.(In Chinese)

Google Scholar

[2] Xu Jianmei, Bai Lun. Distribution for the coefficient of variation in the electronic testing for raw silk size. Proceedings of the fiber society 2009 spring conference. 2009: 578-581.

Google Scholar

[3] R. Chattopadhyay, S.Das, M. L. Gulrajani et al.. A comparison between the quality attributes of silk yarn using the uster and seriplane test systems. J.Text.Inst.1997,88: 92-98.

DOI: 10.1080/00405009708658533

Google Scholar

[4] W. Zhang, C. Iype, and W. Qxenham. The analysis of yarn thin places and unevenness with an image-analysis system and program design, J. Text. Inst., 1998,89(1): 44-58.

DOI: 10.1080/00405009808658596

Google Scholar

[5] I. Porat, K. Greenwood, and S. Saharkhiz. Problems and perspectives of continuous yarn testing, J. Text. Inst., 2000, 91(3): 117-132.

DOI: 10.1080/00405000008659545

Google Scholar

[6] Jay L.Devore. Probability and statistics for engineering and the sciences, Duxbury Press 6th ed., 2004: 410-427.

Google Scholar

[7] John A.Rice, Mathematical statistics and data analysis, Duxbury Press, 2nd ed.,1994: 451-452.

Google Scholar

[8] ISO 5725-2:1994, Accuracy (trueness and precision) of measurement methods and results, Part 2: Basic method for the determination of repeatability and reproducibility of a standard measurement method.

DOI: 10.3403/30329301

Google Scholar