Abstract

Abstract This paper proposes a method for actuator/sensors fault diagnosis in a speed control loop of a hot roughing rolling mill used to carry out multi-pass forward-forward or forward-reverse rolling. According to fault diagnosis theory and the specific application domain, the main objective of the work is to develop a model-based fault detection filter combined with a conventional Luenberger observer. Based on an appropriate gain, the developed technique enables to supervise the hot roughing rolling mill through an accurate bank of residuals within the Generalized Observer Scheme. The effectiveness and performances of the technique are illustrated via a computer simulation platform.

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