| 用AR模型分析纱条不匀和故障识别的研究 |
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| 引用本文： | 丁志荣,于修业. 用AR模型分析纱条不匀和故障识别的研究[J]. 东华大学学报(自然科学版), 1991, 0(6) |
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| 作者姓名： | 丁志荣 于修业 |
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| 作者单位： | 南通纺织工学院 研究生(丁志荣)，中国纺织大学 导师(于修业) |
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| 摘 要： | 本文在IBM PC/XT微机上,采用模型参数法和模式识别技术,进行了纱条不匀的分析和生产中故障识别的初步研究。研究表明:使用18阶的AR模型所得到的熟条功率谱曲线,能有效地反映出熟条的不匀结构。采用修正的K-L近邻法使故障识别准确率达到85％。这种模型参数法和故障识别技术对改进纺纱工艺有一定的应用价值。
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| 关 键 词： | 傅立叶变换 样本 功率谱 模式识别 纺纱 纱条不匀 |
RESEARCH OF SLIVER IRREGULAR STRUCTURE AND TROUBLES RECOGNITION |
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| Ding Zhirong. RESEARCH OF SLIVER IRREGULAR STRUCTURE AND TROUBLES RECOGNITION[J]. Journal of Donghua University, 1991, 0(6) |
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| Authors: | Ding Zhirong |
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| Affiliation: | Ding Zhirong (Nantong Textile College) Yu Xiuye (CHina Textile University) |
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| Abstract: | According to the principle of Fourier transform, Uster Evenness Tester takes form of wave-length spectrum to analyse sliver irregularity. But this paper analysed the irregular structure by AR model, and also carried on an initial research of troubles recognition on PC/XT computer. It concluded that sample length is short, the power spectrum of sliver got by means of 18 th order AR model can be known effectively the irregular structure of sliver; Accurate rate of troubles recognition approaches 85 per cent when using an amended K-near neighbor method whose K is 20; Model-parameter method and pattern recognition technique are worth improving spinning technology. |
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| Keywords: | fourier transform sample power spectrum pattern recognition spinning sliver irregularity. |
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