A method for detection and characterisation of structural non-linearities using the Hilbert transform and neural networks

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A method for detection and characterisation of structural non-linearities using the Hilbert transform and neural networks

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作者：V. Ondra^a ; ^{v.ondra14@imperial.ac.uk" class="auth_mail" title="E-mail the corresponding author} ; I.A. Sever^b ; ^{Ibrahim.Sever@Rolls-Royce.com" class="auth_mail" title="E-mail the corresponding author} ; C.W. Schwingshackl^a ; ^{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

•: A tool for detection and characterisation of structural non-linearities.
•: Proposed non-linearity indexes describe FRFs based on the Hilbert transform.
•: The neural network is used to classify non-linear behaviour based on the non-linearity indexes.
•: Successful characterisation of several numerical and two experimental test cases is shown.

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