Decay-parameter diagnosis in industrial domains by robustness through isotonic regression
S Mahmoud, F Sobieczky, J Martinez-Gil… - Procedia Computer …, 2021 - Elsevier
Procedia Computer Science, 2021•Elsevier
In various industrial production environments a burn-in phase of a specific settling-length
precedes a stable (ie 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.
precedes a stable (ie 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.
Abstract
In 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.
Elsevier
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