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TECHNICAL PAPERS

Condition Monitoring Using a Latent Process Model with an Application to Sheet Metal Stamping Processes

[+] Author and Article Information
Xiaoli Li

Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China, D66004e-mail: xiao.avh@gmail.com

R. Du

Department of Automation & Computer Aided Engineering, The Chinese University of Hong Kong, Hong Kong, China

J. Manuf. Sci. Eng 127(2), 376-385 (Apr 25, 2005) (10 pages) doi:10.1115/1.1870015 History: Received May 07, 2003; Revised June 14, 2004; Online April 25, 2005
Copyright © 2005 by ASME
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References

Du, R., and Xu, Y. S., 2001, “On-Line Monitoring of Sheet Metal Stamping Operations,” The 5th S. M. Wu Conference on Manufacturing Science and Engineering, Dalin, China, June 2002.
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Figures

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Illustration of a stamping press and three basic operations in stamping 11
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A typical force signal during a stamping operation
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A typical strain signal from a stamping (blanking) operation
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The parameters of the TVAR(8) model
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The characteristics of the latent model: left column-amplitudes; center column-modulus; right column-wavelength
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A comparison of the strain signal and the force signal
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Case 1-the part and sheet used in the experiments
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The strain signal of normal condition, misfeed, and thickness increase
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The TVAR-DML decomposition of the signals from three different conditions
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Testing result in Case 1-the posteriori mean projection of the data sets, where, circles represent the normal condition and triangles represent faulty condition
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Case 2: the part and the sheet in the operations. (a) Strain signal under normal and abnormal condition (slug), (b) Decomposition of the strain signals, (c) The modulus of the two signals, (d) The wavelength of the two signals
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The TVAR-DML decomposition of the signals from the two conditions
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Testing result in case 2-the posteriori mean projection of the data sets, where circles represent the normal condition and triangles represent faulty condition

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