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 language | Undefined |
|---|---|
| Title of host publication | 16th IEEE European Test Symposium, ETS 2011 |
| Publisher | IEEE Computer Society |
| Pages | 201-201 |
| Number of pages | 1 |
| ISBN (Print) | 978-1-4577-0483-3 |
| DOIs | |
| Publication status | Published - 23 May 2011 |
| Event | 16th IEEE European Test Symposium, ETS 2011 - Trondheim, Norway Duration: 23 May 2011 → 27 May 2011 Conference number: 16 |
Publication series
| Name | |
|---|---|
| Publisher | IEEE Computer Society |
| ISSN (Print) | 1530-1877 |
Conference
| Conference | 16th IEEE European Test Symposium, ETS 2011 |
|---|---|
| Abbreviated title | ETS |
| Country | Norway |
| City | Trondheim |
| Period | 23/05/11 → 27/05/11 |
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