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Proceedings Paper

Application of support vector machine in flaw identification of aircraft bolts
Author(s): Zheng Li; Feilu Luo; Mengchun Pan; Hong Cui
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Paper Abstract

This paper made some research on the method of feature extraction of ultrasonic flaw echo signals based on WPT, which can reserve the characteristics of high-frequency. After de-noising and feature extracting, characteristic vectors were measured and used to train SVM classifier. The SVM classification method could seek for the vectors which had preferable classifying ability. Through the real tests of aircraft bolts, the method had advantages such as high accuracy and high applicable value.

Paper Details

Date Published: 31 December 2008
PDF: 6 pages
Proc. SPIE 7130, Fourth International Symposium on Precision Mechanical Measurements, 713056 (31 December 2008); doi: 10.1117/12.819746
Show Author Affiliations
Zheng Li, National Univ. of Defense Technology (China)
Feilu Luo, National Univ. of Defense Technology (China)
Mengchun Pan, National Univ. of Defense Technology (China)
Hong Cui, The Academy of Equipment Command and Technology (China)


Published in SPIE Proceedings Vol. 7130:
Fourth International Symposium on Precision Mechanical Measurements
Yetai Fei; Kuang-Chao Fan; Rongsheng Lu, Editor(s)

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