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Modal parameters identification via an ANN-based method

  • Zhichao Fu*
  • , Wei Cheng
  • , Jing Li
  • , Cheng Xu
  • *此作品的通讯作者
  • Beihang University
  • North China Power Engineering (Beijing) Corporation Limited

科研成果: 期刊稿件文章同行评审

摘要

A novel artificial neural network (ANN)-based technique employing auto regression moving average (ARMA) time series method will be used to extract structural modal parameters. It takes advantage of the output only vibration signals to obtain the modal parameters. Firstly, the method uses ANN to calculate the unknown coefficients in ARMA form, and then, it extracts the modal parameters from the calculated matrix before. Both numerical evaluations and experimental results demonstrate that the ANN based method identifies structural modal parameter accurately and robustly. Furthermore, it has a more robust performance than the traditional time domain method. Thus the proposed method is very meaningful to the real measured vibration signals, and it is very suitable to extract the modal parameters from the real system.

源语言英语
页(从-至)899-904
页数6
期刊Jixie Qiangdu/Journal of Mechanical Strength
32
6
出版状态已出版 - 12月 2010

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