关键词: 异常因素, 纺纱质量, 识别, 海量数据, 关联度

Abstract: To identify abnormal fluctuation of quality characteristic values in spinning process,the fluctuation mechanism of spinning quality characteristic values were theoretically analyzed.On the basis of massive spinning data,a Dk-means clustering algorithm was designed.Meanwhile,the optimal fiber attribute variable (elongation) was abstracted,the spinning quality output characteristic values were corrected,and the linear relationship between variable and characteristic value was completed.An estimating method for abnormal factors of spinning quality based on Dk-means algorithm and gray correlation analysis was proposed,and the abnormal fluctuation problem of spinning quality was solved.Combined with the simulation and experiment,results showed that the proposed estimation method had realized the identification of spinning quality's abnormal factors from the correlation coefficient and correlation degree,and the visualization from the fluctuation causes of quality characteristic values to the relationship expression between the abnormal factors and the spinning quality characteristic values,and then to the behavior identification of abnormal factors.

Key words: abnormal factor, spinning quality, identification, massive data, correlation degree