Decay-parameter Diagnosis in Industrial Domains by Robustness through Isotonic Regression
S. Mahmoud, F. Sobieczky, J. Martinez-Gil, P. Praher, B. Freudenthaler. Decay-parameter Diagnosis in Industrial Domains by Robustness through Isotonic Regression. volume 180, pages 466-475, DOI https://doi.org/10.1016/j.procs.2021.01.263, 2, 2021. | |
Autoren | |
Buch | Procedia Computer Science |
Typ | In Konferenzband |
Band | 180 |
DOI | https://doi.org/10.1016/j.procs.2021.01.263 |
Monat | 2 |
Jahr | 2021 |
Seiten | 466-475 |
Abstract | n various industrial production environments a burn-in phase of a specific settling-length precedes a stable (i.e. steady-state, stationary) process mode. The identification of the corresponding physical parameters may be difficult to perform in the presence of strong noise. We propose a method using isotonic regression which circumvents the negative effects of heteroscedasticity related to naive estimation procedures adding robustness against different occurrences of scale on which the run-in effect is observed. |