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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Damage detection through nonparametric models using Kautz filters

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Author(s):
da Silva, Samuel [1] ; Hansen, Cristian [2]
Total Authors: 2
Affiliation:
[1] Sao Paulo State Univ UNESP, Dept Mech Engn, Ave Brasil 56, BR-15385000 Ilha Solteira, SP - Brazil
[2] Fed Inst Educ Sci & Technol Mato Grosso State, Ave Dom Aquino, BR-1500 Primavera Do Leste, MT - Brazil
Total Affiliations: 2
Document type: Journal article
Source: MECCANICA; v. 56, n. 5 FEB 2021.
Web of Science Citations: 0
Abstract

The goal of this paper is to present an approach to detect structural changes by using nonparametric models. The impulse response functions (IRFs) of mechanical systems in healthy conditions are identified through the sum of convolution expanded on an orthonormal basis. The Kautz filters with multiple poles optimized are implemented as an efficient orthonormal basis to identify nonparametric reference models. Identifying the IRFs of a smart beam with PZTs actuators/sensors coupled is used to illustrate the necessary procedures. The damages are simulated as a loss of bolts, nuts, and washers attached near a PZT sensor. A statistical procedure of a hypothesis test is also used to confirm the smart beam's structural state. The experimental results achieved show that it is possible to detect the structural changes with statistical confidence. (AU)

FAPESP's process: 13/09008-4 - Experimental characterization of nonlinear mechanical systems using Volterra models: applications in damage detection
Grantee:Cristian Hansen
Support Opportunities: Scholarships in Brazil - Master