Model-based fault detection and control design – applied to a pneumatic industrial application

In safety critical applications it is important to detect faults that may compromise system safety and to take appropriate action. This paper discusses research carried-out on the development and validation of a model-based fault detection and isolation (FDI) system for a pneumatically actuated Stewart platform. The FDI scheme is based on combining parity equation and Kalman filter based techniques. The parity and Kalman filter equations are formulated and used to generate residuals that, in turn, are analysed to determine whether faults are present in the system. Details of the design process are given and the experimental results are compared. The results demonstrate that both approaches when combined can successfully detect and isolate and in some cases accommodate faults associated with the sensors, actuators (servo-valves and piping) and the pneumatic system itself

Application of diagnostic techniques to an experimental aircraft fuel rig

An important issue for Aerospace and Defence Systems providers is how to reduce the risks associated with installing a new Fault Detection Tool (FDT) on a system. It is highly desirable that some degree of assessment, selection and validation is carried out before the FDT is integrated with the system. This paper describes the initial phases of a project to investigate the processes behind the assessment and validation using an Experimental Aircraft Fuel Rig (referred to as the Advanced Diagnostic Test-bed ADT). This paper also presents results from preliminary verification and validation work that has been used on a mathematical model of the ADT, and also some results from some initial diagnostic technique assessment that has been performed using real experimental data from the ADT and simulated data from mathematical models