Fixture Failure Diagnosis for Autobody Assembly Using Pattern Recognition

ASME International - Tập 118 Số 1 - Trang 55-66 - 1996
Dariusz Ceglarek1, Jianjun Shi1
1S. M. Wu Manufacturing Research Center, Department of Mechanical Engineering and Applied Mechanics, The University of Michigan, Ann Arbor, MI 48109-2125

Tóm tắt

In this paper, a fault diagnostic method is proposed for autobody assembly fixtures. This method uses measurement data to detect and isolate dimensional faults of part caused by fixture. The proposed method includes a predetermined variation pattern model and a fault mapping procedure. The variation pattern model is based on CAD information about the fixture geometry and location of the measurement points. This fault mapping procedure combines Principal Component Analysis with pattern recognition approach. Simulations and one case study illustrate the proposed method.

Từ khóa


Tài liệu tham khảo

ABC, 1993, “Variation Reduction for Automotive Body Assembly,” Annual Report for Advanced Technology Program (NIST), Autobody Consortium (ABC) and University of Michigan, Ann Arbor.

Asada H. , and ByA., 1985, “Kinematic Analysis of Workpart Fixturing for Flexible Assembly with Automatically Reconfigurable Fixtures,” IEEE Journal of Robotics and Automation, Vol. RA-1, No. 2, pp. 86–94.

Ceglarek, D., 1994, “Knowledge-Based Diagnosis for Automotive Body Assembly: Methodology and Implementation,” Ph.D. Dissertation, University of Michigan, Ann Arbor.

Ceglarek D. , ShiJ., 1995, “Dimensional Variation Reduction for Automotive Body Assembly,” Manufacturing Review, Vol. 8, No. 2, pp. 139–154.

Ceglarek D. , ShiJ., and WuS. M., 1994, “A Knowledge-based Diagnosis Approach for the Launch of the Auto-body Assembly Process,” ASME JOURNAL OF ENGINEERING FOR INDUSTRY, Vol. 116, No. 3, pp. 491–499.

Ceglarek, D., Shi, J., Zhou, Z., 1993, “Variation Reduction for Body Assembly: Methodologies and Case Studies Analysis,” Technical Report of the “2 mm” Program, University of Michigan, Ann Arbor.

Chou Y-C. , ChandruV., and BarashM. M., 1989, “A Mathematical Approach to Automatic Configuration of Machining Fixtures: Analysis and Synthesis,” ASME JOURNAL OF ENGINEERING FOR INDUSTRY, Vol. 111, pp. 299–306.

Dessouky M. I. , KapoorS. G., and DeVorR. E., 1987, “A Methodology for Integrated Quality System,” ASME JOURNAL OF ENGINEERING FOR INDUSTRY, Vol. 109, pp. 241–247.

Faltin, F. W., and Tucker, W. T., 1991, “On-line Quality Control for the Factory of the 1990s and Beyond,” In Statistical Process Control Manufacturing: J. B. Keats and D. C. Montgomery, eds., Dekker Inc.

Fukunaga, K., 1972, Introduction to Statistical Pattern Recognition, Academic Press, NY.

Hu S. , and WuS. M., 1992, “Identifying Root Causes of Variation in Automobile Body Assembly Using Principal Component Analysis,” Trans. of NAMRI, Vol. XX, pp. 311–316.

Jolliffe, I. T., 1986, Principal Component Analysis, Springer-Verlag.

Kannatey-Asibu E. , 1982, “On the Application of the Pattern Recognition Method to Manufacturing Process Monitoring,” Trans. of NAMRI, Vol. X, pp. 487–492.

Menassa R. J. , and DeVriesW. R., 1989, “Locating Point Synthesis in Fixture Design,” Annals of CIRP, Vol. 38, No. 1, pp. 165–169.

Morrison, D. F., 1967, Multivariate Statistical Methods, McGraw-Hill Inc.

Paul, R., 1981, Robot Manipulators: Mathematics, Programming, and Control, The MIT Press.

Roan C. , HuS. J., and WuS. M., 1993, “Computer Aided Identification of Root Causes of Variation in Automobile Body Assembly,” ASME Winter Annual Meeting, Vol. 64, pp. 391–400, New Orleans.

Rubinstein, R. Y., 1981, Simulation and the Monte Carlo Method, Wiley and Sons, New York.

Salisbury J. K. , and RothB., 1983, “Kinematic and Force Analysis of Articulated Mechanical Hands,” ASME Journal of Mechanisms, Transmissions and Automation in Design, Vol. 105, pp. 34–41.

Shekhar S. , KhatibO., and ShimojoM., 1988, “Object Localization with Multiple Sensors,” The International Journal of Robotics Research, Vol. 7, No. 6, pp. 35–44.

Schwarz S. A. , and LuS. C-Y., 1992, “Representation, Acquisition, and Manipulation of Probabilistic Attribute Values to Support Engineering Decision Making,” Trans of NAMRI, Vol. XX, pp. 261–267.

Takezawa N. , 1980, “An Improved Method for Establishing the Process-Wise Quality Standard,” Rep. Stat. Appl. Res., JUSE, Vol. 27, No. 3, pp. 63–75.

Tlusty J. , and AndrewsG. C., 1983, “A Critical Review of Sensors for Unmanned Machining,” Annals of the CIRP, Vol. 32, pp. 563–572.