Application of moving horizon estimation based fault detection to cold tandem steel mill

For a class of model uncertainty descriptions, plant/model mismatch can be directly incorporated into a model based fault detection scheme using Movin g Horizon Estimation. The model uncertainty is represented by a set of boun ded parameters which can be used to alter the dynamics of the model through injection of the measured output as well as inputs. The uncertainty class includes gain uncertainty as well as uncertainty in pole locations. Using a bank of filters, detection of exclusive fault scenarios can be accomplishe d. The proposed method is compared to other methods employing an adaptive t hreshold, and is demonstrated on a simulation example of a cold tandem stee l mill.