Structural Health Monitoring

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Real-time distortion monitoring during fused deposition modeling via acoustic emission
Structural Health Monitoring - Tập 19 Số 2 - Trang 412-423 - 2020
Feng Li, Zhonghua Yu, Zhensheng Yang, Xuanwei Shen
Fused deposition modeling is a popular technique for three-dimensional prototyping since it is cost-effective, convenient to operate, and environment-friendly. However, the low quality of its printed products jeopardizes its future development. Distortion, also known as warping deformation, which is caused by many factors such as inappropriate process parameters and process drifts, is one...... hiện toàn bộ
Distribution adaptation deep transfer learning method for cross-structure health monitoring using guided waves
Structural Health Monitoring - Tập 21 Số 3 - Trang 853-871 - 2022
Bin Zhang, Xiaobin Hong, Yuan Liu
Deep learning algorithm can effectively obtain damage information using labeled samples, and has become a promising feature extraction tool for ultrasonic guided wave detection. But it is difficult to apply the monitoring expertise of structure A to structure B in most cases due to the differences in the dispersion and receiving modes of different waveguides. For multi-structure monitorin...... hiện toàn bộ
Output-only structural health monitoring in changing environmental conditions by means of nonlinear system identification
Structural Health Monitoring - Tập 13 Số 1 - Trang 82-93 - 2014
Edwin Reynders, Gersom Wursten, Guido De Roeck
Structural health monitoring relies on the repeated observation of damage-sensitive features such as strains or natural frequencies. A major problem is that regular changes in temperature, relative humidity, operational loading, and so on also influence those features. This influence is in general nonlinear and it affects different features in a different way. In this article, an improved...... hiện toàn bộ
Active vibration-based structural health monitoring system for wind turbine blade: Demonstration on an operating Vestas V27 wind turbine
Structural Health Monitoring - Tập 16 Số 5 - Trang 536-550 - 2017
Dmitri Tcherniak, Louise Mølgaard
Structural health monitoring of offshore wind turbines using automated operational modal analysis
Structural Health Monitoring - Tập 13 Số 6 - Trang 644-659 - 2014
Christof Devriendt, Filipe Magalhães, Wout Weijtjens, Gert De Sitter, Álvaro Cunha, Patrick Guillaume
This article will present and discuss the approach and the first results of a long-term dynamic monitoring campaign on an offshore wind turbine in the Belgian North Sea. It focuses on the vibration levels and modal parameters of the fundamental modes of the support structure. These parameters are crucial to minimize the operation and maintenance costs and to extend the lifetime of offshor...... hiện toàn bộ
A uniform initialization Gaussian mixture model–based guided wave–hidden Markov model with stable damage evaluation performance
Structural Health Monitoring - Tập 18 Số 3 - Trang 853-868 - 2019
Shenfang Yuan, Jinjin Zhang, Jian Chen, Lei Qiu, Weibo Yang
During practical applications, the time-varying service conditions usually lead to difficulties in properly interpreting structural health monitoring signals. The guided wave–hidden Markov model–based damage evaluation method is a promising approach to address the uncertainties caused by the time-varying service condition. However, researches that have been performed to date are not compr...... hiện toàn bộ
A data-driven temperature compensation approach for Structural Health Monitoring using Lamb waves
Structural Health Monitoring - Tập 15 Số 5 - Trang 525-540 - 2016
Claude Fendzi, Marc Rébillat, Nazih Mechbal, Mikhaïl Guskov, G. Coffignal
This paper presents a temperature compensation method for Lamb wave structural health monitoring. The proposed approach considers a representation of the piezo-sensor signal through its Hilbert transform that allows one to extract the amplitude factor and the phase shift in signals caused by temperature changes. An ordinary least square (OLS) algorithm is used to estimate these unknown pa...... hiện toàn bộ
Wavelet Transform for Structural Health Monitoring: A Compendium of Uses and Features
Structural Health Monitoring - Tập 5 Số 3 - Trang 267-295 - 2006
Mahmoud Reda Taha, Aboelmagd Noureldin, Jonathan L. Lucero, Thomas J. Baca
The strategic and monetary value of the civil infrastructure worldwide necessitates the development of structural health monitoring (SHM) systems that can accurately monitor structural response due to real-time loading conditions, detect damage in the structure, and report the location and nature of this damage. In the last decade, extensive research has been carried out for developing vi...... hiện toàn bộ
Structural Damage Detection Using Modal Curvature and Fuzzy Logic
Structural Health Monitoring - Tập 8 Số 4 - Trang 267-282 - 2009
M. Chandrashekhar, Ranjan Ganguli
A fuzzy logic system (FLS) with a new sliding window defuzzifier is proposed for structural damage detection using modal curvatures. Changes in the modal curvatures due to damage are fuzzified using Gaussian fuzzy sets and mapped to damage location and size using the FLS. The first four modal vectors obtained from finite element simulations of a cantilever beam are used for identifying th...... hiện toàn bộ
Vibration-based Damage Identification Methods: A Review and Comparative Study
Structural Health Monitoring - Tập 10 Số 1 - Trang 83-111 - 2011
Wei Fan, Pizhong Qiao
A comprehensive review on modal parameter-based damage identification methods for beam- or plate-type structures is presented, and the damage identification algorithms in terms of signal processing are particularly emphasized. Based on the vibration features, the damage identification methods are classified into four major categories: natural frequency-based methods, mode shape-based meth...... hiện toàn bộ
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