A pattern recognition system based on acoustic signals for fault detection on composite materials-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A pattern recognition system based on acoustic signals for fault detection on composite materials

Published:2017-07 Issue: Volume:64 Page:1-10
ISSN:0997-7538
Container-title:European Journal of Mechanics - A/Solids
language:en
Short-container-title:European Journal of Mechanics - A/Solids

Author:

O'Brien Ronald Julian,Fontana Juan Manuel,Ponso Nicolás,Molisani Leonardo

Funder

National Scientific and Technical Research Council of Argentina (CONICET)

Publisher

Elsevier BV

Subject

General Physics and Astronomy,Mechanical Engineering,Mechanics of Materials,General Materials Science

Reference38 articles.

1. An intelligent structural damage detection approach based on self-powered wireless sensor data;Alavi;Autom. Constr.,2016

2. Assessment of vibration-based damage identification techniques;Alvandi;J. Sound Vib.,2006

3. Comparison and analysis of non-destructive testing techniques suitable for delamination inspection in wind turbine blades;Amenabar;Compos. Part B Eng.,2011

4. Structural complexity in structural health monitoring: design of laboratory model and test plan;Cowled,2015

Cited by 23 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Investigation of interfacial debonding identification for concrete filled steel tube columns based on acoustic signals;Measurement;2025-01

2. Optimising Hyperparameters of Artificial Neural Network Topology for SHM Damage Detection and Identification;Journal of Failure Analysis and Prevention;2024-03-12

3. Damage assessment in beam-like structures by correlation of spectrum using machine learning;Frattura ed Integrità Strutturale;2023-06-22

4. A Novel Approach Applied to Transient Short-Circuit Diagnosis in TIMs by Piezoelectric Sensors, PCA, and Wavelet Transform;IEEE Sensors Journal;2023-04-15

5. A Study of a Novel Acoustic Metamaterial Structure for Signal Enhancement Based on Fan Blade Fault Diagnosis;Mechanisms and Machine Science;2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3