This paper proposes an on-line quality inspection method to detect seam, a major type of surface defect generated in rolling processes. A feature-preserving snake-projection procedure is first adopted to convert the images of suspect seams to one-dimensional sequences. Discrete Wavelet Transform is then performed on the derived sequences with features extracted from wavelet coefficients. Finally, T2 control chart is established to discriminate between real seams and false positives. Minimization of the discrimination error based on training data is also presented with illustrations. On-line implementation of the proposed method shows that it satisfies the requirements of both detection accuracy and detection speed.
- Manufacturing Engineering Division
On-Line Seam Detection in Rolling Processes Using Snake Projection and Discrete Wavelet Transform
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Li, J, Shi, J, & Chang, T. "On-Line Seam Detection in Rolling Processes Using Snake Projection and Discrete Wavelet Transform." Proceedings of the ASME 2006 International Manufacturing Science and Engineering Conference. Manufacturing Science and Engineering, Parts A and B. Ypsilanti, Michigan, USA. October 8–11, 2006. pp. 753-760. ASME. https://doi.org/10.1115/MSEC2006-21088
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