A Robust Metric for Screening Outliers from Analogue Product Manufacturing Tests Responses

Shaji Krishnan, Shaji Krishnan, Hans G. Kerkhoff

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)

Abstract

Mahalanobis distance is one of the commonly used multivariate metrics for finely segregating defective devices from non-defective ones. An associated problem with this approach is the estimation of a robust mean and a covariance matrix. In the absence of such robust estimates, especially in the presence of outliers to test-response measurements, and only a sub-sample from the population is available, the distance metric becomes unreliable. To circumvent this problem, multiple Mahalanobis distances are calculated from selected sets of test-response measurements. They are then suitably formulated to derive a metric that has a reduced variance and robust to shifts or deviations in measurements. In this paper, such a formulation is proposed to qualitatively screen product outliers and quantitatively measure the reliability of the non-defective ones. The application of method is exemplified over a test set of an industrial automobile product.
Original languageUndefined
Title of host publicationProceedings 16th IEEE European Test Symposium, ETS 2011
Place of PublicationUSA
PublisherIEEE Computer Society
Pages159-164
Number of pages6
ISBN (Print)978-1-4577-0483-3
DOIs
Publication statusPublished - 23 May 2011
Event16th IEEE European Test Symposium, ETS 2011 - Trondheim, Norway
Duration: 23 May 201127 May 2011
Conference number: 16

Publication series

Name
PublisherIEEE Computer Society
ISSN (Print)1530-1877

Conference

Conference16th IEEE European Test Symposium, ETS 2011
Abbreviated titleETS
CountryNorway
CityTrondheim
Period23/05/1127/05/11

Keywords

  • METIS-284958
  • IR-79215
  • manufacturing test
  • EWI-21152
  • Metrics
  • CAES-TDT: Testable Design and Test
  • Outliers

Cite this

Krishnan, S., Krishnan, S., & Kerkhoff, H. G. (2011). A Robust Metric for Screening Outliers from Analogue Product Manufacturing Tests Responses. In Proceedings 16th IEEE European Test Symposium, ETS 2011 (pp. 159-164). USA: IEEE Computer Society. https://doi.org/10.1109/ETS.2011.31
Krishnan, Shaji ; Krishnan, Shaji ; Kerkhoff, Hans G. / A Robust Metric for Screening Outliers from Analogue Product Manufacturing Tests Responses. Proceedings 16th IEEE European Test Symposium, ETS 2011. USA : IEEE Computer Society, 2011. pp. 159-164
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Krishnan, S, Krishnan, S & Kerkhoff, HG 2011, A Robust Metric for Screening Outliers from Analogue Product Manufacturing Tests Responses. in Proceedings 16th IEEE European Test Symposium, ETS 2011. IEEE Computer Society, USA, pp. 159-164, 16th IEEE European Test Symposium, ETS 2011, Trondheim, Norway, 23/05/11. https://doi.org/10.1109/ETS.2011.31

A Robust Metric for Screening Outliers from Analogue Product Manufacturing Tests Responses. / Krishnan, Shaji; Krishnan, Shaji; Kerkhoff, Hans G.

Proceedings 16th IEEE European Test Symposium, ETS 2011. USA : IEEE Computer Society, 2011. p. 159-164.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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N2 - Mahalanobis distance is one of the commonly used multivariate metrics for finely segregating defective devices from non-defective ones. An associated problem with this approach is the estimation of a robust mean and a covariance matrix. In the absence of such robust estimates, especially in the presence of outliers to test-response measurements, and only a sub-sample from the population is available, the distance metric becomes unreliable. To circumvent this problem, multiple Mahalanobis distances are calculated from selected sets of test-response measurements. They are then suitably formulated to derive a metric that has a reduced variance and robust to shifts or deviations in measurements. In this paper, such a formulation is proposed to qualitatively screen product outliers and quantitatively measure the reliability of the non-defective ones. The application of method is exemplified over a test set of an industrial automobile product.

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Krishnan S, Krishnan S, Kerkhoff HG. A Robust Metric for Screening Outliers from Analogue Product Manufacturing Tests Responses. In Proceedings 16th IEEE European Test Symposium, ETS 2011. USA: IEEE Computer Society. 2011. p. 159-164 https://doi.org/10.1109/ETS.2011.31