Fatigue crack monitoring of aerospace structure based on lamb waves and binary tree support vector machines
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所属单位：航空学院
发表刊物：JOURNAL OF VIBROENGINEERING
关键字：binary tree support vector machines matching pursuit method fatigue crack aerospace structure lamb wave
摘要：To overcome the difficulty in identifying the fatigue crack in key parts of aerospace structure, a kind of methods aimed to monitor the crack length based on matching pursuit (MP) method and binary tree support vector machines (BT-SVM) classification algorithm was developed. In this method, Lamb wave signals were decomposed into a linear combination of several Chirplet atoms by MP method, and then the matching parameters were extracted as feature vectors for training and testing in BT-SVM classification algorithm. At the same time, a lug joint model was created with a certain ratio and the effect of crack extension on Lamb wave signals propagation was studied. At last, fatigue loading experiments were carried out in lug joints and tail reinforced frames of aircraft. The results showed that this method can monitor the length of fatigue crack effectively, which presents a new approach for monitoring the fatigue crack.
ISSN号：1392-8716
是否译文：否
发表时间：2017-08-01
合写作者：Lu, Shenbo
通讯作者：周丽