Variation propagation in a multi-station manufacturing process (MMP) is described by the theory of “Stream of Variation.” Given that the measurements are obtained via certain sensor distribution scheme, the problem of whether the stream of variation of an MMP is diagnosable is of great interest to both academia and industry. We present a comprehensive study of the diagnosability of MMPs in this paper. It is based on the state space model and is parallel to the concept of observability in control theory. Analogous to the observability matrix and index, the diagnosability matrix and index are first defined and then derived for MMP systems. The result of diagnosability study is applied to the evaluation of sensor distribution strategy. It can also be used as the basis to develop an optimal sensor distribution algorithm. An example of a three-station assembly process with multi-fixture layouts is presented to illustrate the methodology.
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March 2002
Technical Papers
Diagnosability Analysis of Multi-Station Manufacturing Processes
Yu Ding,
Yu Ding
Department of Industrial Engineering, Texas A&M University, College Station, TX 77843-3131
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Jianjun Shi,
Jianjun Shi
Department of Industrial and Operations Engineering, The University of Michigan, Ann Arbor, MI 48109
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Dariusz Ceglarek
Dariusz Ceglarek
Department of Industrial Engineering, University of Wisconsin-Madison, Madison, WI 53706-1572
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Yu Ding
Department of Industrial Engineering, Texas A&M University, College Station, TX 77843-3131
Jianjun Shi
Department of Industrial and Operations Engineering, The University of Michigan, Ann Arbor, MI 48109
Dariusz Ceglarek
Department of Industrial Engineering, University of Wisconsin-Madison, Madison, WI 53706-1572
Contributed by the Dynamic Systems and Control Division for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received by the Dynamic Systems and Control Division October 9, 2001. Associate Editor: S. Fassois.
J. Dyn. Sys., Meas., Control. Mar 2002, 124(1): 1-13 (13 pages)
Published Online: October 9, 2001
Article history
Received:
October 9, 2001
Citation
Ding, Y., Shi, J., and Ceglarek, D. (October 9, 2001). "Diagnosability Analysis of Multi-Station Manufacturing Processes ." ASME. J. Dyn. Sys., Meas., Control. March 2002; 124(1): 1–13. https://doi.org/10.1115/1.1435645
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