"Good" parts - "Bad" parts discrimination: An ARX modeling approach

Rick J. Ventura, Marc Mignolet, Harihar T. Kulkarni

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This investigation focuses on the formulation and assessment of a strategy for the discrimination of good and bad manufactured pads. The proposed approach is based on an exogenous autoregressive structural model of the good parts and on the error of this model in predicting the measured responses of good and bad parts. The discrimination strategy relies on the expectation that the modeling error of good parts will be smaller than the one of bad parts since the model is representative of one or several good parts. Six techniques were then introduced to reduce the modeling error, a time-dependent vector, into a few overall discrepancy measures which quantify in different ways the "magnitude" of the error vector and thus can each be used as a basis for the discrimination of the good parts from the bad ones. The results of a preliminary assessment with simple one and four degree of freedom models of the parts clearly indicates that the present error-based discrimination strategy performs very well - it is generally either optimum or close to it.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
Pages1279-1285
Number of pages7
Volume4753 II
StatePublished - 2002
Externally publishedYes
EventProceedings of IMAC-XX: A Conference on Structural Dynamics - Los Angeles, CA, United States
Duration: Feb 4 2002Feb 7 2002

Other

OtherProceedings of IMAC-XX: A Conference on Structural Dynamics
CountryUnited States
CityLos Angeles, CA
Period2/4/022/7/02

Fingerprint

discrimination
degrees of freedom
formulations

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

Ventura, R. J., Mignolet, M., & Kulkarni, H. T. (2002). "Good" parts - "Bad" parts discrimination: An ARX modeling approach. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 4753 II, pp. 1279-1285)

"Good" parts - "Bad" parts discrimination : An ARX modeling approach. / Ventura, Rick J.; Mignolet, Marc; Kulkarni, Harihar T.

Proceedings of SPIE - The International Society for Optical Engineering. Vol. 4753 II 2002. p. 1279-1285.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ventura, RJ, Mignolet, M & Kulkarni, HT 2002, "Good" parts - "Bad" parts discrimination: An ARX modeling approach. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 4753 II, pp. 1279-1285, Proceedings of IMAC-XX: A Conference on Structural Dynamics, Los Angeles, CA, United States, 2/4/02.
Ventura RJ, Mignolet M, Kulkarni HT. "Good" parts - "Bad" parts discrimination: An ARX modeling approach. In Proceedings of SPIE - The International Society for Optical Engineering. Vol. 4753 II. 2002. p. 1279-1285
Ventura, Rick J. ; Mignolet, Marc ; Kulkarni, Harihar T. / "Good" parts - "Bad" parts discrimination : An ARX modeling approach. Proceedings of SPIE - The International Society for Optical Engineering. Vol. 4753 II 2002. pp. 1279-1285
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