Reference-free fatigue crack detection using deep long short-term memory network (DLSTM) and nonlinear ultrasonic modulation

Author:

Jang Jinho,Liu Peipei,Kwon Ohjun,Choi Jaemook,Ma Zhanxiong,Sohn HoonORCID

Funder

National Research Foundation of Korea

Ministry of Science, ICT and Future Planning

Publisher

Elsevier BV

Subject

Mechanical Engineering,Condensed Matter Physics,General Materials Science

Reference33 articles.

1. Steel moment frame damage predictions using low-cycle fatigue;Campbell,2008

2. Nonlinear ultrasonic techniques for nondestructive damage assessment in metallic materials;Kim,2011

3. A vision system for automated crack detection in welds;Ho;Meas Sci Technol,1990

4. MWM eddy current sensors for monitoring of crack initiation and growth during fatigue tests and in service;Zilberstein;Int J Fatig,2001

5. Fatigue crack growth monitoring in aluminum using acoustic emission and acousto‐ultrasonic methods;Maslouhi;Struct Control Health Monit,2011

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