Observer and Data Driven Model Based Fault Detection in
This paper presents and compares model based and data driven fault detection approaches for coal mill systems The first approach detects faults with an optimal unknown input observer developed from a simplified energy balance model Due to the time consuming effort in developing a first principles model with motor power as the controlled variable data driven methods for fault detection are