Structure damage localization with ultrasonic guided waves based on a time–frequency method

Dai, Daoyi; He, Qingbo

doi:10.1016/j.sigpro.2013.05.025

Cited by 86 publications

(50 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Calculating the variable contributions to the Q-statistic is quite easy since this index is simply a squared prediction error summed over all the variables (equating equations (14) and (16)), the contribution of the variable to Q-statistic of the ith experimental trial is given by:…”

Section: Q-statistic Contributionmentioning

confidence: 99%

Multiway principal component analysis contributions for structural damage localization

Ruiz

Mujica

Sierra-Pérez

et al. 2017

Structural Health Monitoring

View full text Add to dashboard Cite

In this paper, a novel methodology for damage localization is introduced. The approach is based on a multiactuator system. This means that the system itself has the ability of both exciting the specimen and measuring its response at different points in a pitch-catch mode. Once one of its actuators excites the specimen, the damage affects the normal travel of the guided wave, and this change is mainly detected by sensors in the direct route to the excitation point. In previous works by the authors, it can been observed the progression using data-driven statistical models (multivariable analysis based on principal component analysis, PCA) of all recorded signals to determine whether the damage is present. However, the main contribution of this paper is the demonstration of the possibility of localizing damages by analyzing the contribution of each sensor to this index which have detected it (T 2-statistic and Q-statistic). The proposed methodology has been applied and validated on an aircraft turbine blade. The results indicate that the presented methodology is able to accurately locate damages, analyzing the record signals from all actuation phases, giving a unique and reliable region.

show abstract

Section: Q-statistic Contributionmentioning

confidence: 99%

Multiway principal component analysis contributions for structural damage localization

Ruiz

Mujica

Sierra-Pérez

et al. 2017

Structural Health Monitoring

View full text Add to dashboard Cite

show abstract

“…The purpose of this paper is to demonstrate a novel fault detection and diagnosis (FDD) approach using ultrasound inputs in conjunction with advanced signal processing methods [4,10,21,31] for monitoring the structural condition of a steel plate. The novel signal processing is based on system identification techniques in discrete time to estimate potential faults.…”

Section: The Objective Of This Paper Is To Demonstrate a Novel Signalmentioning

confidence: 99%

A heuristic method for detecting and locating faults employing electromagnetic acoustic transducers

Muñoz¹,

Márquez²,

Jiménez³

et al. 2017

EiN

View full text Add to dashboard Cite

Science and Technology article citation info: IntroductionNon-destructive testing (NDT) for fault detection in structures has received more attention in recent years. Significant advances in instrumentation technology and digital signal processing have been made [16,17,19,25,30]. Signal processing methods together with structural health monitoring (SHM) permit the identification and diagnosis of faults and their location based on changes in static and

show abstract

“…Climenthi‐Alarcón and coworkers employed square time–frequency distributions, including WVD and the Choi–Williams distribution, to detect short‐circuit elements . To detect damage, Day and He directed the signals generated by the ultrasonic waves processed by WVD . Kumar et al used the Gabor–Wigner transform to process the signals from a damaged building under the influence of an earthquake and to extract time–frequency patterns .…”

Section: Introductionmentioning

confidence: 99%

New damage index based on least squares distance for damage diagnosis in steel girder of bridge's deck

Ahmadi

Anvari

2018

Struct Control Health Monit

View full text Add to dashboard Cite

An increase in the number of incidents involving steel bridges in recent years has made it necessary to analyze their safety. So far, researchers have proposed several methods to determine the dynamic behavior of steel bridges, distinguish changes in their behavior, extract dynamic specification, and detect damage in them. In this study, an applied algorithm and a new damage index based on the time-frequency matrix and least squares distance have been proposed and used to determine the damage and detect its location. The performance of the suggested index to identify the damage in the numerical model of two steel beams with 31 damage scenarios was investigated. In addition, the LS-Index was assessed for damage diagnosis in the analytical model of the College Bridge. The finite element model of the College Bridge was created based on extensive in situ measurements and laboratory tests, and 10 different damage scenarios were considered. The results showed the ability of the proposed index to identify damage in the girder of the bridge. The obtained results suggested that the index can also report the damage simultaneously. The performance of the proposed method was also investigated using noise-polluted signals with three different signal-to-noise ratios. Based on the calculations, the index had a good performance. To diagnose damage, there is no need to measure the input loading. Besides, it is not necessary to create a numerical model. Owing to the applicability, accuracy, and high ability, the damage index can be used to detect damage in the steel girders of bridge decks.

show abstract

Structure damage localization with ultrasonic guided waves based on a time–frequency method

Cited by 86 publications

References 20 publications

Multiway principal component analysis contributions for structural damage localization

Multiway principal component analysis contributions for structural damage localization

A heuristic method for detecting and locating faults employing electromagnetic acoustic transducers

New damage index based on least squares distance for damage diagnosis in steel girder of bridge's deck

Contact Info

Product

Resources

About