Share Email Print
cover

Proceedings Paper

A SVM regression predicting model for indentation depth of welding spot based on digital image processing
Author(s): Jin Zhang; Peng-xian Zhang
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

The indentation depth of resistance spot welding joint is closely related to its quality, and the digital image of its surface is used as an information source. An evaluating algorithm of artificial intelligence for the indentation depth is put forward. Firstly, through analyzing characteristics of images on the surface of spot welding joints, the first ring area S1, the second ring area S2, total area S, the area ratio coefficient between total area and first ring area K1, and the area ratio coefficient between total area and second ring area K2 are extracted as evaluation factors of indentation depth. At the same time, S2, S, K1 are selected as characteristic parameters of the indentation depth based on the correlation analysis between the evaluation factors and the indentation depth. Secondly, a support vector machine (SVM) predicting model of the indentation depth is established. The model selects the parameters S2, S, K1, welding current I, and electrode pressure F as the input vector and selects the actual indentation depth hT of welding spot as the target vector. Test results are shown, the correlation coefficient are 0.9958 between model prediction values and actual measured values. The indentation depth of welding spot can be predicted by means of the SVM evaluating algorithm.

Paper Details

Date Published: 8 June 2012
PDF: 5 pages
Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83342H (8 June 2012); doi: 10.1117/12.956422
Show Author Affiliations
Jin Zhang, Lanzhou Univ. of Technology (China)
Peng-xian Zhang, Lanzhou Univ. of Technology (China)


Published in SPIE Proceedings Vol. 8334:
Fourth International Conference on Digital Image Processing (ICDIP 2012)
Mohamed Othman; Sukumar Senthilkumar; Xie Yi, Editor(s)

© SPIE. Terms of Use
Back to Top