Fatigue crack monitoring of aerospace structure based on binary tree support vector machines
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所属单位：航空学院
发表刊物：HEALTH MONITORING OF STRUCTURAL AND BIOLOGICAL SYSTEMS 2017
关键字：fatigue crack binary tree support vector machines matching pursuit method crack extension Chirplet atom feature extracting lug joint fatigue loading experiments
摘要：This paper presents a novel method to monitor crack length which based on binary tree support vector machines (BT-SVM). 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.
ISSN号：0277-786X
是否译文：否
发表时间：2017-01-01
合写作者：Lu, Shenbo
通讯作者：周丽