6533b872fe1ef96bd12d2ed7

RESEARCH PRODUCT

Outlier analysis and principal component analysis to detect fatigue cracks in waveguides

Debaditya DuttaPiervincenzo RizzoMarcello CammarataHoon Sohn

subject

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

description

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 detection of fatigue cracks in a steel beam. The probing hardware consists of a PXI platform that controls the generation and measurement of the ultrasonic signals by means of piezoelectric transducers made of Lead Zirconate Titanate. Although the approach is demonstrated in a beam test, it is argued that the proposed method is general and applicable to any structure that can sustain the propagation of UGWs.

yearjournalcountryeditionlanguage
2009-03-26
10.1117/12.815512http://hdl.handle.net/10447/63621