Fault Detection and Diagnosis for Sensor in an Aero-Engine System

In modern society, civil plane has become more and more important in people's life. How to ensure safety and reliability of civil plane has attracted more and more attention by many research institutes and researchers. As one of the most important part in the civil plane, how to ensure normal operation of aero-engine becomes particularly important. According to statistics, the sensor fault accounts for more than 80% of the total failures in the aero-engine system. In this paper, an aero-engine model is established according to the operational principle of aero-engine using AMESim software. Secondly, the sensor sub-model in above model is modified to simulate drift failure, bias fault, and pulse fault, and to achieve aero-engine sensors' fault data. After that, sensor fault diagnosis model is built based on principle component analysis. Online detection and diagnosis can be realized using this diagnosis model. Simulation results show that the proposed method is feasible and effective.