A method for detection and characterisation of structural non-linearities using the Hilbert transform and neural networks
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- 作者：V. Ondraa ; v.ondra14@imperial.ac.uk" class="auth_mail" title="E-mail the corresponding author ; I.A. Severb ; Ibrahim.Sever@Rolls-Royce.com" class="auth_mail" title="E-mail the corresponding author ; C.W. Schwingshackla ; c.schwingshackl@imperial.ac.uk" class="auth_mail" title="E-mail the corresponding author
- 关键词：Non-linear system characterisation ; Hilbert transform ; Neural network classification ; Nonlinearity indexes
- 刊名：Mechanical Systems and Signal Processing
- 出版年：2017
- 出版时间：15 January 2017
- 年：2017
- 卷：83
- 期：Complete
- 页码：210-227
- 全文大小：3676 K
文摘
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A tool for detection and characterisation of structural non-linearities.
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Proposed non-linearity indexes describe FRFs based on the Hilbert transform.
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The neural network is used to classify non-linear behaviour based on the non-linearity indexes.
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Successful characterisation of several numerical and two experimental test cases is shown.