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TECHNICAL PAPERS

Diagnostic Feature Extraction From Stamping Tonnage Signals Based on Design of Experiments

[+] Author and Article Information
Jionghua Jin

Department of Systems & Industrial Engineering, The University of Arizona, Tucson, AZ 85721-0020

Jianjun Shi

Department of Industrial and Operations Engineering, The University of Michigan, Ann Arbor, MI 48109-2117e-mail: shihang@engin.umich.edu

J. Manuf. Sci. Eng 122(2), 360-369 (Jun 01, 1999) (10 pages) doi:10.1115/1.538926 History: Received October 01, 1998; Revised June 01, 1999
Copyright © 2000 by ASME
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References

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Koh,  C. K. H., Shi,  J., and Williams,  W., 1995, “Tonnage Signature Analysis Using the Orthogonal (Haar) Transforms,” NAMRI/SME Trans., 23, pp. 229–234.
Montgomery, D., 1996, Introduction to Statistical Quality Control, Wiley, New York.
Jin, J., 1999, Feature Extraction of Waveform Signals for Stamping Process Monitoring and Fault Diagnosis, Ph.D. Thesis, The University of Michigan, Ann Arbor.
Jin,  J., and Shi,  J., 1999, “Feature-Preserving Data Compression of Stamping Tonnage Information Using Wavelets,” Technometrics, 41, pp. 327–339.
Koh,  C. K. H., Shi,  J., and Black,  J., 1996, “Tonnage Signature Attribute Analysis for Stamping Process,” NAMRI/SME Trans., 23, pp. 193–198.
Chen, P., 1997, Punch Condition Monitoring in Sheet Metal Stamping Under Progressive Stamping Environments, Ph.D. Dissertation, The University of Michigan, Ann Arbor.
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Auto Body Consortium (ABC), 1998, “Agile and Precision Sheet Metal Stamping-Near Zero Stamping Projects,” Quarterly Technical Report to NIST Advanced Technology Program, Vol. NZS-301.
Castro,  P. E., Lawton,  W. H., and Sylvestre,  E. A., 1986, “Principal Modes of Variation for Processes with Continuous Sample Curves,” Technometrics, 28, No. 4, pp. 329–337.
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Figures

Grahic Jump Location
The framework for diagnostic feature extraction based on DOE
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(a) An example of a stamping press. (b) One cycle of a tonnage signal
Grahic Jump Location
Diagnostic variable identification based on DOE
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An example of classification based on a hierarchical structure
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Classification based on variable D
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Classification based on variables B and E (6(a) D=“−”; 6(b) D=“+”)
Grahic Jump Location
Classification based on variable C
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Hierarchical classifier for the stamping process
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Misclassification rates of the hierarchical classifiers

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