Search results for "Outlier analysis"

showing 2 items of 2 documents

Autonomous ultrasonic inspection using Bayesian optimisation and robust outlier analysis

2020

The use of robotics is beginning to play a key role in automating the data collection process in Non Destructive Testing (NDT). Increasing the use of automation quickly leads to the gathering of large quantities of data, which makes it inefficient, perhaps even infeasible, for a human to parse the information contained in them. This paper presents a solution to this problem by making the process of NDT data acquisition an autonomous one as opposed to an automatic one. In order to achieve this, the robotic data acquisition task is treated as an optimisation problem, where one seeks to find locations with the highest indication of damage. The resulting algorithm combines damage detection tech…

0209 industrial biotechnologyComputer scienceTKAerospace Engineering02 engineering and technologycomputer.software_genre01 natural sciencesField (computer science)Settore ING-IND/14 - Progettazione Meccanica E Costruzione Di Macchine020901 industrial engineering & automationData acquisitionNon-destructive testing (NDT)0103 physical sciencesUltrasoundUncertainty quantificationOutlier analysis010301 acousticsCivil and Structural EngineeringData collectionbusiness.industryMechanical EngineeringProbabilistic logicBayesian optimisationAutomationComputer Science ApplicationsControl and Systems EngineeringSignal ProcessingOutlierStructural health monitoringData miningbusinesscomputerGaussian process (GP) regression
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Outlier analysis and principal component analysis to detect fatigue cracks in waveguides

2009

Ultrasonic Guided Waves (UGWs) are a useful tool in structural health monitoring (SHM) applications that can benefit from built-in transduction, moderately large inspection ranges and high sensitivity to small flaws. This paper describes a SHM method based on UGWs, discrete wavelet transform (DWT), outlier analysis and principal component analysis (PCA) able to detect and quantify the onset and propagation of fatigue cracks in structural waveguides. The method combines the advantages of guided wave signals processed through the DWT with the outcomes of selecting defectsensitive features to perform a multivariate diagnosis of damage. The framework presented in this paper is applied to the de…

Discrete wavelet transformMultivariate statisticsMultivariate analysisGuided wave testingComputer scienceAcousticsUltrasonic testingWavelet transformOutlier analysisprincipal component analysis fatigue cracks waveguidesPrincipal component analysisOutlierUltrasonic sensorStructural health monitoringSettore ICAR/08 - Scienza Delle Costruzioni
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