New vision technologies provide an opportunity for fast detection and diagnosis of quality problems compared with traditional dimensional measurement techniques. This paper proposes a new use of image processing to detect quality faults using images traditionally obtained to guide manufacturing processes. The proposed method utilizes face recognition tools to eliminate the need of specific feature detection on determining out-of-specification parts. The algorithm is trained with previously classified images. New images are then classified into two groups, healthy and unhealthy. This paper proposes a method that combines Discrete Cosine Transform (DCT) with either Principal Component Analysis (PCA) or Linear Discriminant Analysis (LDA) to detect faults, such as cracks, directly from sheet metal parts.
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ASME 2008 International Manufacturing Science and Engineering Conference collocated with the 3rd JSME/ASME International Conference on Materials and Processing
October 7–10, 2008
Evanston, Illinois, USA
Conference Sponsors:
- Manufacturing Engineering Division
ISBN:
978-0-7918-4851-7
PROCEEDINGS PAPER
Quality Monitoring and Fault Detection on Stamped Parts Using DCA and LDA Image Recognition Techniques
Qiangsheng Zhao,
Qiangsheng Zhao
Michigan Technological University, Houghton, MI
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Jaime A. Camelio
Jaime A. Camelio
Virginia Polytechnic Institute and State University, Blacksburg, VA
Search for other works by this author on:
Qiangsheng Zhao
Michigan Technological University, Houghton, MI
Jaime A. Camelio
Virginia Polytechnic Institute and State University, Blacksburg, VA
Paper No:
MSEC_ICM&P2008-72218, pp. 495-502; 8 pages
Published Online:
July 24, 2009
Citation
Zhao, Q, & Camelio, JA. "Quality Monitoring and Fault Detection on Stamped Parts Using DCA and LDA Image Recognition Techniques." Proceedings of the ASME 2008 International Manufacturing Science and Engineering Conference collocated with the 3rd JSME/ASME International Conference on Materials and Processing. ASME 2008 International Manufacturing Science and Engineering Conference, Volume 1. Evanston, Illinois, USA. October 7–10, 2008. pp. 495-502. ASME. https://doi.org/10.1115/MSEC_ICMP2008-72218
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