Adjusted Least Squares Approach for Diagnosis of Ill-Conditioned Compliant Assemblies-Reference-Cited by-同舟云学术

Adjusted Least Squares Approach for Diagnosis of Ill-Conditioned Compliant Assemblies

Published:2000-03-01 Issue:3 Volume:123 Page:453-461
ISSN:1087-1357
Container-title:Journal of Manufacturing Science and Engineering
language:en
Short-container-title:

Author:

Rong Q.¹,Shi J.²,Ceglarek D.³

Affiliation:

1. General Electric Corp., Cleveland, OH 44112

2. Dept. of Industrial and Operations Engineering, The University of Michigan, Ann Arbor, MI 48109

3. Dept. of Industrial Engineering, The University of Wisconsin-Madison, Madison, WI 53706-1572

Abstract

Least squares (LS) estimation has been extensively used for parameter identification and model-based diagnosis. However, if ill-conditioning is present, the LS estimation approach tends to generate imprecise results and thus impacts the diagnostic performance. In this paper, an adjusted least squares approach is proposed to deal with the ill-conditioning problem in the diagnosis of compliant sheet metal assembly process. The adjusted LS approach is able to overcome the ill-conditioning and give precise results for certain linear combinations of the faults. Simulations and industrial case study are conducted to compare the diagnostic performance of the adjusted and regular LS approach. In addition, a two-stage assembly model is developed for further fault isolation with inclusion of additional measurement information.

Publisher

ASME International

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Control and Systems Engineering

Link

http://asmedigitalcollection.asme.org/manufacturingscience/article-pdf/123/3/453/5812418/453_1.pdf

Reference23 articles.

1. Ceglarek, D., and Shi, J., 1996, “Fixture Failure Diagnosis for Autobody Assembly Using Pattern Recognition,” ASME J. Eng. Industry, 118, No. 1, pp. 55–66.

2. Jin, J., and Shi, J., 1999, “State Space Modeling of Sheet Metal Assembly for Dimensional Control,” ASME J. Manuf. Sci. Eng., 121, No. 4, pp. 756–762.

3. Ding, Y., Ceglarek, D., and Shi, J., 2000, “Modeling and Diagnostics of Multi-Station Assembly Processes: Part II—Fault Diagnostics,” 2000 Japan-USA Symposium on Flexible Automation, Ann Arbor, MI.

4. Wang, Y., and Nagarkar, S. R., 1999, “Locator and Sensor Placement for Automated Coordinate Checking Fixtures,” ASME J. Manuf. Sci. Eng., 121, No. 4, pp. 709–719.

5. Khan, A., and Ceglarek, D., 2000, “Optimization for Fault Diagnosis in Muiti-Fixture Assembly Systems with Distributed Sensind,” ASME J. Manuf. Sci. Eng., 122, No. 1, pp. 215–226.

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