Algorithms for estimation and classification based on sensor arrays

• Grant number: 17/20161-0
• Support Opportunities: Regular Research Grants
• Start date: March 01, 2018
• End date: August 31, 2020
• Field of knowledge: Engineering - Electrical Engineering - Telecommunications
• Principal Investigator: Vitor Heloiz Nascimento
• Grantee: Vitor Heloiz Nascimento
• Host Institution: Escola Politécnica (EP). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• Associated researchers: Bruno Sanches Masiero ; Cassio Guimaraes Lopes

Abstract

This proposal is concerned with the study and development of new algorithms for multi-channel signal processing, particularly for estimation of acoustic images with microphone arrays, and estimation and classification of faults in mechanical structures using acoustic emissions. The focus is on low computational cost algorithms, for use in real time.We intend to continue developing methods based on the Kronecker Array Transform (KAT), proposed recently in a previous work. The KAT allows, under certain conditions, a considerable reduction in the computational cost required for estimation of acoustic images. We intend to compare more thoroughly the proposed algorithms with others in the literature, using both simulated and real data, which we intend to collect using the microphone arrays already built in our laboratory. We also intend to extend the KAT to allow the reconstruction of the actual signals coming from each direction (instead of only estimating their powers), achieving a better resolution in direction than is possible using beamforming techniques.Regarding the acoustic emissions problem, there is nowadays a deep interest in the development of techniques that allow continuous monitoring of a mechanical structure. We intend to develop new centralized and distributed algorithms for localization and classification of faults in mechanical structures, taking into account as much as possible prior information about the structure (such as dimensions of the specimen, position of rivets, changes in signal speed propagation). (AU)

Scientific publications

(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)

PRETE JUNIOR, CARLOS A.; NASCIMENTO, VITOR H.; LOPES, CASSIO G.; IEEE. Modeling Time of Arrival Probability Distribution and TDOA Bias in Acoustic Emission Testing. 2018 26TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), v. N/A, p. 5-pg., 2018-01-01. (17/20933-2, 17/20161-0)