Online Univariate Outlier Detection in Final Test: A Robust Rolling Horizon Approach

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2 Citations (Scopus)

Abstract

We present an online outlier detection method that is applicable to Final Test. Test limits are constructed based on previous measurements and robust statistics are used to ensure a stable start to the method. We analyze our method using real-world data. Furthermore, we identified some cases which can result in performance degradation, but most experiments show that our method is robust to outliers and able to detect them in an online setting.
Original languageUndefined
Title of host publication16th IEEE European Test Symposium, ETS 2011
PublisherIEEE Computer Society
Pages201-201
Number of pages1
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

  • IR-77801
  • EWI-20372
  • METIS-277735

Cite this

Bossers, H. C. M., Hurink, J. L., & Smit, G. J. M. (2011). Online Univariate Outlier Detection in Final Test: A Robust Rolling Horizon Approach. In 16th IEEE European Test Symposium, ETS 2011 (pp. 201-201). IEEE Computer Society. https://doi.org/10.1109/ETS.2011.10