Model based safety assessmentfor safety critical system

Abstract: Nowadays, model-based diagnosis plays an important role in many systems fromsimple to complex, especially systems with high demand of safety. Inavionics/aerospace systems, the large distance from the vehicle to earth makes themaintenance process difficult. As a result, in this field model-based diagnosis hasbecome a major method for fault identification and recovering and NASA AmesResearch Center has developed the advanced diagnostics and prognostics testbed(ADAPT) as a platform for experimenting and comparing the results of differentdiagnosis technologies and tools. This study reviews the theory of model-based diagnosis and how it is employed inavionics systems. The diagnosis system in our study consists of a set of sensorsmonitoring different parameter of electrical components in the system to detect andlocate faults. In the scope of this study, we focus on detecting drift fault of electricalcomponents’ parameter such as values of voltage, current and resistor. Two approachesare used for detecting this kind of fault: CUSUM chart V-mask method and Shewhartvariable control chart. The application which is built based on these approaches will berun on ADAPT and the result will be showed and discussed.