Open AccessDETECÇÃO DE FALHAS POR MEIO ACÚSTICO UTILIZANDO ALGORITMO DE SELEÇÃO NEGATIVA
Author(s) -
Igor Feliciani Merizio,
Fábio Roberto Chavarette,
Thiago Carreta Moro,
Roberto Outa
Publication year - 2021
Publication title -
colloquium exactarum
Language(s) - English
Resource type - Journals
ISSN - 2178-8332
DOI - 10.5747/ce.2020.v12.n3.e330
Subject(s) - computer science , structural integrity , measure (data warehouse) , fault detection and isolation , norm (philosophy) , structural engineering , data mining , artificial intelligence , engineering , philosophy , epistemology , actuator
The System Integrity Monitoring (SHM) assesses the situation of aeronautical, civil or mechanical structures and provides the forecast of it is remaining life, acting in decision making, being able to intervene in critical situations. It has emerged as a viable economic alternative for monitoring structures and preventing failures. Thus, thissystem is defined as a prophylactic measure, reliable and effective against structural failure. This work has as objective the theoretical basis and the detection of failures in tubes by acoustic means, following the norm ISO10534-1 (1996) in the sampling. This method of fault detection using acoustic means requires considerably less training data than is usually used in the literature, with approximately 85% less data.