Highly accurate online characterisation of cracks in plate-like structures
Author:
Publisher
Elsevier BV
Subject
Mechanical Engineering,Condensed Matter Physics,General Materials Science
Reference24 articles.
1. Detection and monitoring of hidden fatigue crack growth using a built-in piezoelectric sensor/actuator network: I. Diagnostics;Ihn;Smart Mater Struct,2004
2. Artificial neural network (ANN)-based crack identification in aluminum plates with Lamb wave signals;Lu;J Intell Mater Syst Struct,2009
3. In-situ monitoring of fatigue crack growth using high frequency guided waves;Masserey;NDT E Int,2015
4. Detection, localization and characterization of damage in plates with an in situ array of spatially distributed ultrasonic sensors;Michaels;Smart Mater Struct,2008
5. Active health monitoring of an aircraft wing with embedded piezoelectric sensor/actuator network: I. Defect detection, localization and growth monitoring;Zhao;Smart Mater Struct,2007
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