Diagnosing simulated faults for an industrial furnace based on bilinear model

Fault diagnosis for a gas-fired industrial furnace is described. First, an input-output bilinear model is estimated using real data. The model is shown to be much more precise than a linear model. Then, two actuator and two sensor faults are simulated on the bilinear model, and are detected using a bilinear fault detection observer. Since the sensor faults cannot be isolated from one another using the observer, the linear parity space method is extended to bilinear systems and applied to the furnace. The effectiveness of the extended parity space method in both detection and isolation of the faults in the furnace is demonstrated