Nonlinear features identified by Volterra series for damage detection in a buckled beam

• Autor(a) principal: Shiki, S. B. [UNESP]
• Data de Publicação: 2014
• Outros Autores: Hansen, C. [UNESP], Silva, S. da [UNESP]
• Tipo de documento: Artigo de conferência
• Idioma: eng
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://www.matec-conferences.org/articles/matecconf/abs/2014/07/matecconf_csndd2014_02003/matecconf_csndd2014_02003.html; http://hdl.handle.net/11449/130217

The present paper proposes a new index for damage detection based on nonlinear features extracted from prediction errors computed by multiple convolutions using the discrete-time Volterra series. A reference Volterra model is identified with data in the healthy condition and used for monitoring the system operating with linear or nonlinear behavior. When the system has some structural change, possibly associated with damage, the index metrics computed could give an alert to separate the linear and nonlinear contributions, besides provide a diagnostic about the structural state. To show the applicability of the method, an experimental test is performed using nonlinear vibration signals measured in a clamped buckled beam subject to different levels of force applied and with simulated damages through discontinuities inserted in the beam surface.