Fault Detection and Location System for Diagnosis of Multiple Faults in Aeroengines

Abstract

This paper presents a fault detection and location (FDL) system for the situation of the coexistence of faults and health degradation in aeroengines. The FDL is able to locate the faulty sensors and actuators when the two kinds of faults coexist and avoid the interference of health degradation. The FDL is formed by a matrix of hybrid Kalman filters, and the different performances of hybrid Kalman filters can be used to distinguish the different faults. The proposed approach is applied to the nonlinear aeroengine model, and the ability of the proposed approach to detect and locate the faulty sensors and actuators reliably is demonstrated. According to the results, the FDL is able to locate the faulty sensors and actuators during the interference of health degradation.

Keywords

• Kalman filter
• aeroengine
• onboard model
• health degradation
• sensor fault
• actuator fault