Applied Mathematics and Mechanics (English Edition) ›› 1998, Vol. 19 ›› Issue (11): 1033-1042.

• 论文 • 上一篇    下一篇

THE INFLUENCE OF THE DIFFERENT DISTRIBUTED PHASE-RANDOMIZED ON THE EXPERIMENTAL DATA OBTAINEd IN DYNAMIC ANALYSIS

马军海1, 陈予恕2, 刘曾荣3   

  1. 1. Institute of Systems Engineering, Southeast University, Nanjing 210096, P. R. China;
    2. Department of Mechanics, Tianjin University, Tianjin 300072, P. R. China;
    3. Department of Mathematics, Shanghai University, Shanehai 201800, P. R. China
  • 收稿日期:1997-01-20 修回日期:1998-04-10 出版日期:1998-11-18 发布日期:1998-11-18
  • 基金资助:
    Project supported by the National Natural Science Foundation of China

THE INFLUENCE OF THE DIFFERENT DISTRIBUTED PHASE-RANDOMIZED ON THE EXPERIMENTAL DATA OBTAINEd IN DYNAMIC ANALYSIS

Ma Junhai1, Chen Yushu2, Liu Zengrong 3   

  1. 1. Institute of Systems Engineering, Southeast University, Nanjing 210096, P. R. China;
    2. Department of Mechanics, Tianjin University, Tianjin 300072, P. R. China;
    3. Department of Mathematics, Shanghai University, Shanehai 201800, P. R. China
  • Received:1997-01-20 Revised:1998-04-10 Online:1998-11-18 Published:1998-11-18
  • Supported by:
    Project supported by the National Natural Science Foundation of China

摘要: In this paper the influence of the differently distributed phase-randontized to the data obtained in dynamic analysis for critical value is studied.The calculation results validate that the sufficient phase-randomized of the different distributed random numbers are less influential on the critical value . This offers the theoretical foundation of the feasibility and practicality of the phase-randomized method.

关键词: experimental data, surrogate data, critical value, phaserandomized, random timeseries, chaotic timeseries

Abstract: In this paper the influence of the differently distributed phase-randontized to the data obtained in dynamic analysis for critical value is studied.The calculation results validate that the sufficient phase-randomized of the different distributed random numbers are less influential on the critical value . This offers the theoretical foundation of the feasibility and practicality of the phase-randomized method.

Key words: experimental data, surrogate data, critical value, phaserandomized, random timeseries, chaotic timeseries

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