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Adaptive Filter Feature Identification for Structural Health Monitoring in Aeronautical Panel

  • Samuel da Silva
  • Camila Gianini Gonsalez
  • Vicente Lopes Junior
Conference paper
Part of the Conference Proceedings of the Society for Experimental Mechanics Series book series (CPSEMS)

Abstract

This paper presents an approach for structural health monitoring (SHM) by using adaptive filters. The experimental signals from different structural conditions provided by piezoelectric actuators/sensors bonded in the test structure are modeled by a discrete-time recursive least square (RLS) filter. The biggest advantage to use a RLS filter is the clear possibility to perform an online SHM procedure since that the identification is also valid for non-stationary linear systems. An online damage-sensitive index feature is computed based on autoregressive (AR) portion of coefficients normalized by the square root of the sum of the square of them. The proposed method is then utilized in a laboratory test involving an aeronautical panel coupled with piezoelectric sensors/actuators (PZTs) in different positions. A hypothesis test employing the t-test is used to obtain the damage decision. The proposed algorithm was able to identify and localize the damages simulated in the structure. The results have shown the applicability and drawbacks the method and the paper concludes with suggestions to improve it.

Keywords

structural health monitoring smart structures RLS filter t-test online damage detection 

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Copyright information

© Springer Science+Businees Media, LLC 2011

Authors and Affiliations

  • Samuel da Silva
    • 1
  • Camila Gianini Gonsalez
    • 2
  • Vicente Lopes Junior
    • 2
  1. 1.Centro de Engenharias e Ciências Exatas (CECE)Paraná Western State University (UNIOESTE)Foz do IguaçuBrazil
  2. 2.Department of Mechanical Engineering, Grupo de Materiais e Sistemas InteligentesUNESP – São Paulo State UniversityIlha SolteiraBrazil

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