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Proceedings Paper

Fatigue crack monitoring of aerospace structure based on binary tree support vector machines
Author(s): Shenbo Lu; Li Zhou
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Paper Abstract

This paper presents a novel method to monitor crack length which based on binary tree support vector machines (BTSVM). In this method, matching pursuit method with Chirplet atom is applied to extract the matching parameters as feature vectors to train and test in the BT-SVM algorithm. Then one simulation of lug joint is carried out for studying the effect of crack extension on Lamb wave signals propagation. Fatigue loading experiments on lug joints are carried out at last. The results show that this new method can monitor the length of fatigue crack effectively.

Paper Details

Date Published: 5 April 2017
PDF: 9 pages
Proc. SPIE 10170, Health Monitoring of Structural and Biological Systems 2017, 1017032 (5 April 2017); doi: 10.1117/12.2258358
Show Author Affiliations
Shenbo Lu, Nanjing Univ. of Aeronautics and Astronautics (China)
Li Zhou, Nanjing Univ. of Aeronautics and Astronautics (China)


Published in SPIE Proceedings Vol. 10170:
Health Monitoring of Structural and Biological Systems 2017
Tribikram Kundu, Editor(s)

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