Application of support vector machine in flaw identification of aircraft bolts

Zheng Li; Feilu Luo; Mengchun Pan; Hong Cui

doi:10.1117/12.819746

31 December 2008 Application of support vector machine in flaw identification of aircraft bolts

Zheng Li, Feilu Luo, Mengchun Pan, Hong Cui

Proceedings Volume 7130, Fourth International Symposium on Precision Mechanical Measurements; 713056 (2008) https://doi.org/10.1117/12.819746
Event: Fourth International Symposium on Precision Mechanical Measurements, 2008, Anhui, China

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.

Citation Download Citation

Zheng Li, Feilu Luo, Mengchun Pan, and Hong Cui "Application of support vector machine in flaw identification of aircraft bolts", Proc. SPIE 7130, Fourth International Symposium on Precision Mechanical Measurements, 713056 (31 December 2008); https://doi.org/10.1117/12.819746

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available