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Structural Health Monitoring Systems Based on the Electromechanical Impedance in Applications with Low Signal-to-Noise Ratio

Grant number: 15/24903-5
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): September 01, 2016
Effective date (End): November 30, 2019
Field of knowledge:Engineering - Electrical Engineering
Principal researcher:Fabricio Guimarães Baptista
Grantee:Bruno Albuquerque de Castro
Home Institution: Faculdade de Engenharia (FE). Universidade Estadual Paulista (UNESP). Campus de Bauru. Bauru , SP, Brazil
Associated scholarship(s):18/23737-2 - Damage location systems based on electromechanical impedance and baseline-free guided waves under low signal-to-noise ratio conditions, BE.EP.DR


This research is related to the regular project supported by FAPESP (gant 2015/02500-6) entitled "Monitoring Systems Based on Technical of Electromechanical Impedance: New Trends and Challenges". Structural Health Monitoring (SHM) systems are designed to detect structural damage at an early stage, ensuring the safety of the users and reducing the maintenance costs. Among the various methods for damage detection, the electromechanical impedance (EMI) technique receive attention for its simple methodology and using inexpensive piezoelectric transducers. In the current proposal, the objective is to explore and develop signal processing techniques for signals from piezoelectric transducers considering methodologies based on the frequency response function (FRF) under conditions of low signal-to-noise (SNR). Generally, studies involving the electromechanical impedance technique are performed in laboratories under ideal conditions. However, in the practice, the contamination of signals with noise is inevitable, which can significantly influence the detection of structural damage, especially damage in initial stage. Thus, the proposed research will have an important contribution to the improvement of the electromechanical impedance technique, especially in applications with low SNR.

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Scientific publications (6)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
DE CASTRO, BRUNO ALBUQUERQUE; BAPTISTA, FABRICIO GUIMARAES; CIAMPA, FRANCESCO. New signal processing approach for structural health monitoring in noisy environments based on impedance measurements. MEASUREMENT, v. 137, p. 155-167, . (15/24903-5, 15/02500-6)
DE CASTRO, BRUNO ALBUQUERQUE; BAPTISTA, FABRICIO GUIMARAES; CIAMPA, FRANCESCO. Comparative analysis of signal processing techniques for impedance-based SHM applications in noisy environments. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, v. 126, p. 326-340, . (15/24903-5, 15/02500-6)
DE CASTRO, BRUNO ALBUQUERQUE; BAPTISTA, FABRICIO GUIMARAES; ARDILA REY, JORGE ALFREDO; CIAMPA, FRANCESCO. A chromatic technique for structural damage detection under noise effects based on impedance measurements. MEASUREMENT SCIENCE & TECHNOLOGY, v. 30, n. 7, . (15/24903-5, 18/23737-2)
DE CASTRO, BRUNO ALBUQUERQUE; BRUNINI, DANILO DE MELO; BAPTISTA, FABRICIO GUIMARAES; ANDREOLI, ANDRE LUIZ; COVOLAN ULSON, JOSE ALFREDO. Assessment of Macro Fiber Composite Sensors for Measurement of Acoustic Partial Discharge Signals in Power Transformers. IEEE SENSORS JOURNAL, v. 17, n. 18, p. 6090-6099, . (15/24903-5, 15/02500-6)
CAMPOS, FERNANDO DE SOUZA; DE CASTRO, BRUNO ALBUQUERQUE; BUDOYA, DANILO ECIDIR; BAPTISTA, FABRICIO GUIMARAES; COVOLAN ULSON, JOSE ALFREDO; ANDREOLI, ANDRE LUIZ. Feature extraction approach insensitive to temperature variations for impedance-based structural health monitoring. IET Science Measurement & Technology, v. 13, n. 4, p. 536-543, . (17/23157-3, 15/24903-5, 18/09312-9)
DE FREITAS, EVERALDO S.; BAPTISTA, FABRICIO G.; BUDOYA, DANILO E.; DE CASTRO, BRUNO A.. Equivalent Circuit of Piezoelectric Diaphragms for Impedance-Based Structural Health Monitoring Applications. IEEE SENSORS JOURNAL, v. 17, n. 17, p. 5537-5546, . (15/24903-5, 15/23272-1, 15/02500-6)
Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
CASTRO, Bruno Albuquerque de. A contribution to structural healthy monitoring systems electromechanical impedance-based under low signal-to-noise ratio applications. 2019. Doctoral Thesis - Universidade Estadual Paulista (Unesp). Faculdade de Engenharia. Bauru Bauru.

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