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Degree:Doctoral Degree in Engineering
School/Department:College of Aerospace Engineering

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Education Level:南京航空航天大学

Alma Mater:南京航空航天大学

Paper Publications

An Optimal Image-Based Method for Identification of Acoustic Emission (AE) Sources in Plate-Like Structures Using a Lead Zirconium Titanate (PZT) Sensor Array
Date of Publication:2018-02-01 Hits:

Affiliation of Author(s):航空学院
Journal:SENSORS
Key Words:AE source identification reverse-time f-k migration image processing minimum Shannon entropy artificial bee colony algorithm
Abstract:This paper proposes an innovative method for identifying the locations of multiple simultaneous acoustic emission (AE) events in plate-like structures from the view of image processing. By using a linear lead zirconium titanate (PZT) sensor array to record the AE wave signals, a reverse-time frequency-wavenumber (f-k) migration is employed to produce images displaying the locations of AE sources by back-propagating the AE waves. Lamb wave theory is included in the f-k migration to consider the dispersive property of the AE waves. Since the exact occurrence time of the AE events is usually unknown when recording the AE wave signals, a heuristic artificial bee colony (ABC) algorithm combined with an optimal criterion using minimum Shannon entropy is used to find the image with the identified AE source locations and occurrence time that mostly approximate the actual ones. Experimental studies on an aluminum plate with AE events simulated by PZT actuators are performed to validate the applicability and effectiveness of the proposed optimal image-based AE source identification method.
ISSN No.:1424-8220
Translation or Not:no
Date of Publication:2018-02-01
Correspondence Author:yg
Date of Publication:2018-02-01