Signal-based nonlinear modelling for damage assessment under variable temperature conditions by means of acousto-ultrasonics-Reference-Cited by-同舟云学术

Signal-based nonlinear modelling for damage assessment under variable temperature conditions by means of acousto-ultrasonics

Published:2015-02-10 Issue:8 Volume:22 Page:1103-1118
ISSN:1545-2255
Container-title:Structural Control and Health Monitoring
language:en
Short-container-title:Struct. Control Health Monit.

Author:

Torres-Arredondo M.-A.¹,Sierra-Pérez Julian²,Tibaduiza D.-A.³,McGugan Malcolm⁴,Rodellar José⁵,Fritzen C.-P.⁶⁷

Affiliation:

1. MAN Diesel & Turbo SE, Engineering 4 Stroke-Test and Validation-Test Bed Management-Measurement (EETTM); D-86224 Augsburg Germany

2. Grupo de Investigación en Ingeniería Aeroespacial; Universidad Pontificia Bolivariana; Medellín Colombia

3. Grupo de Investigación en Modelado, Electronica y Monitoreo (MEM), Faculty of Electronic Engineering; Universidad Santo Tomás; Bogotá Colombia

4. DTU Vindenergi, Risø Campus; Frederiksborgvej 399, Building 228 4000 Roskilde Denmark

5. Department of Applied Mathematics III; Universitat Politècnica de Catalunya-BarcelonaTech; Comte d'Urgell 187 E-08036 Barcelona Spain

6. University of Siegen, Centre for Sensor Systems (ZESS); Siegen Germany

7. University of Siegen; Institute of Mechanics and Control Engineering-Mechatronics; Siegen Germany

Publisher

Wiley

Subject

Mechanics of Materials,Building and Construction,Civil and Structural Engineering

Reference42 articles.

1. Sohn H Worden K Farrar C Novelty detection under changing environmental conditions In Proceedings of SPIE s 8th Annu Int Symp on Smart Structures and Materials

2. An introduction to structural health monitoring;Farrar;Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences,2007

3. Q-statistic and T2-statistic PCA-based measures for damage assessment in structures;Mujica;Structural Health Monitoring,2010

4. Damage location in an isotropic plate using a vector of novelty indices;Mustapha;Mechanical Systems and Signal Processing,2007

5. A study of two unsupervised data driven statistical methodologies for detecting and classifying damages in structural health monitoring;Tibaduiza;Mechanical Systems and Signal Processing,2013

Cited by 8 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. Optimization of Pipeline Leakage Detection System in Utility Tunnel Based on Finite Element Method;Structural Control and Health Monitoring;2024-01

2. Reducing false alarms in guided waves structural health monitoring of pipelines: Review synthesis and debate;International Journal of Pressure Vessels and Piping;2020-12

3. Damage Identification in Structural Health Monitoring: A Brief Review from its Implementation to the Use of Data-Driven Applications;Sensors;2020-01-29

4. Mechanical properties and electromagnetic radiation characteristics of concrete specimens after exposed to elevated temperatures;Construction and Building Materials;2018-11

5. Vibration-Based Damage Detection of Bridges under Varying Temperature Effects Using Time-Series Analysis and Artificial Neural Networks;Journal of Bridge Engineering;2017-10