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Searching for Strange Attractor in Sliver Irregularity Series

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【作者】 姚杰钟再敏陈人哲叶国铭

【Author】 YAO Jie1,ZHONG Zai-min1,CHEN Ren-zhe2,YE Guo-ming2 1 College of Automobile,Tongji University,Shanghai 201804,China2 College of Mechanical Engineering,Donghua University,Shanghai 201620,China

【机构】 College of Automobile Tongji UniversityCollege of AutomobileTongji UniversityCollege of Mechanical EngineeringDonghua UniversityShanghai 201804ChinaShanghai 201620

【摘要】 The chaotic nonlinear time series method is applied to analyze the sliver irregularity in textile processing.Because it unifies the system’s determinacy and randomness,it seems more adaptive to describe the sliver irregularity than conventional methods.Firstly,the chaos character,i.e.fractal dimension,positive Lyapunov exponent,and state space parameters,including time delay and reconstruction dimension,are calculated respectively.As a result,a positive Lyapunov exponent and a fractal dimension are obtained,which demonstrates that the system is chaotic in fact.Secondly,both local linear forecast and global forecast models based on the reconstructed state are adopted to predict a segment part of the sliver irregularity series,which proves the validity of this analysis.Therefore,the sliver irregularity series shows the evidence of chaotic phenomena,and thus laying the theoretical foundation for analyzing and modeling the sliver irregularity series by applying the chaos theory,and providing a new way to understand the complexity of the sliver irregularity much better.

【Abstract】 The chaotic nonlinear time series method is applied to analyze the sliver irregularity in textile processing.Because it unifies the system’s determinacy and randomness,it seems more adaptive to describe the sliver irregularity than conventional methods.Firstly,the chaos character,i.e.fractal dimension,positive Lyapunov exponent,and state space parameters,including time delay and reconstruction dimension,are calculated respectively.As a result,a positive Lyapunov exponent and a fractal dimension are obtained,which demonstrates that the system is chaotic in fact.Secondly,both local linear forecast and global forecast models based on the reconstructed state are adopted to predict a segment part of the sliver irregularity series,which proves the validity of this analysis.Therefore,the sliver irregularity series shows the evidence of chaotic phenomena,and thus laying the theoretical foundation for analyzing and modeling the sliver irregularity series by applying the chaos theory,and providing a new way to understand the complexity of the sliver irregularity much better.

  • 【文献出处】 Journal of Donghua University(English Edition) ,东华大学学报(英文版) , 编辑部邮箱 ,2007年06期
  • 【分类号】TS101.8
  • 【被引频次】7
  • 【下载频次】45
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