Fault Injection and Diagnosis for Civil Aircraft Cabin Pressure Control System

This paper introduces a fault injection and diagnosis method for civil aircraft cabin pressure control system and its implementation in Rhapsody. Based on the fault analysis, fault injection in Simulink are studied for typical faults in cabin pressure control system, BP neural networks are used to diagnose the typical faults. The proposed fault injection and diagnosis methods are implemented in Rhapsody with the cabin pressure control system model in design phase, and simulations are given to verify the effectiveness of the proposed method.