Utilising a SIMULINK gas turbine engine model for fault diagnosis

Gas turbine engines are highly non-linear, multi-sample rate, multi-input/multi-output systems with fast changing dynamics. As a consequence a representative gas turbine engine model that comprises of the engine, its accessories and the controller, is extremely complex and interactive, incorporating look-up tables derived from real engine data and a mixture of continuous and logical functions. In this paper, a SIMULINK model of the gas turbine engine a nd controller is described. This model is being primarily used for generating simulated fault data that is being used to train neural networks for fault diagnosis. The current work focuses on using Resource Allocating Networks (RAN) to not only identify faults but to give an indication of the duration of the faults.