Damage Identification Method Based on LMD Sample Entropy and SVM for Oil Derrick

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Abstract:

To identify damaged position of oil derrick, this paper presents a damage identification method for oil derrick using LMD and sample entropy to extract eigenvector and SVM to identify classes. Hammering vibration response signal of damaged derrick is decomposed into several PF components. The sample entropy of PF components is calculated and used as eigenvectors. SVM classifier is constructed based on eigenvectors of different damage location, and this method can identify damage position accurately. This method is verified by comparison with recognition result of LMD and information entropy.

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620-623

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December 2014

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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[1] HanDongying, ShiPeiming. Damage identification of derrick steel structures based on frequency and equivalent damage coefficient [J]. Engineering Mechanics, Vol. 25(2011), p.109.

Google Scholar

[2] WangYuanqing, YuanYingzhan, ZhouGuoqiang. Double nonlinear analysis of the loading capacity of drilling derrick steels tructures with defect sand defacements [J]. Journal of Building Structures, Vol. 21(2000), p.62.

Google Scholar

[3] Smith JS. The local mean decomposition and its application to EEG perception data, J. R. Soc. Interface. Vol. 2 (2005), p.443.

Google Scholar

[4] Richman J S, Moorman J R. Physiological time-series analysis using approximate entropy and sample entropy[J]. American Journal of Physiology-Heart Circulatory Physiology, Vol. 2678(2000), p. (2039).

DOI: 10.1152/ajpheart.2000.278.6.h2039

Google Scholar

[5] Haiyang Zhao, Minqiang Xu, Jindong Wang: An Improved Binary Tree SVM and Application for Fault Diagnosis, Journal of Vibration Engineering, Vol. 26(2013), p.764.

Google Scholar