Damage detection through nonparametric models using Kautz filters

Autor(es)

da Silva, Samuel ^[1] ; Hansen, Cristian ^[2]

Afiliação do(s) autor(es)

^[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

• Tipo de documento: Artigo Científico
• Fonte: MECCANICA; v. 56, n. 5 FEB 2021.
• Citações Web of Science: 0

Resumo

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)

• Processo FAPESP: 13/09008-4 - Caracterização experimental de sistemas mecânicos não-lineares usando modelos de Volterra: aplicações na detecção de danos
• Beneficiário: Cristian Hansen
• Modalidade de apoio: Bolsas no Brasil - Mestrado