An unsupervised learning algorithm for fatigue crack detection in waveguides

Smart Materials and Structures

Volumn 18, Issue 2, 2009, Pages

  Rizzo, Piervincenzo ^a   Cammarata, Marcello ^a   Dutta, Debaditya ^b   Sohn, Hoon ^c   Harries, Kent ^a  

^a PA 15260   (United States)

^b CARNEGIE MELLON UNIVERSITY   (United States)

^c Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

CHEMICAL DETECTION; CRACK DETECTION; DAMAGE DETECTION; DISCRETE WAVELET TRANSFORMS; FATIGUE CRACK PROPAGATION; FERROELECTRIC CERAMICS; GUIDED ELECTROMAGNETIC WAVE PROPAGATION; LEAD ZIRCONATE TITANATE; SIGNAL RECONSTRUCTION; STATISTICS; ULTRASONIC APPLICATIONS; ULTRASONIC WAVES; WAVEGUIDES;

DETECTION AND QUANTIFICATIONS; DISCRETE-WAVELET-TRANSFORM; FATIGUE CRACKS; HEALTH MONITORING METHOD; HIGH SENSITIVITY; MONITORING APPLICATIONS; OUTLIER ANALYSIS; ULTRASONIC GUIDED WAVE; UNSUPERVISED LEARNING ALGORITHMS; WAVE ANALYSIS;

STRUCTURAL HEALTH MONITORING;

EID: 85173258679     PISSN: 09641726     EISSN: 1361665X     Source Type: Journal    
DOI: 10.1088/0964-1726/18/2/025016     Document Type: Article

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