A unified framework of fault detection and diagnosis based on fractional-order chaos system

Abstract

Sensors play important roles in aircraft electronic system, their faults will bring huge risks to the system safety and reliability. Considering the harsh service environment of the aircraft, a unified sensor fault detection and diagnosis scheme is proposed for the aircraft subject to strong Gaussian noise, strong non-Gaussian noise, and unknown disturbance, which is based on a fractional-order chaos system. To make the fractional-order chaos system can be used for fault detection and fault diagnosis, the structure, system parameters, and fractional-order of the system are adjusted according to the stability of the fractional-order system. The novel dynamics of the adjusted fractional-order nonlinear system are analyzed with multiple methods. Based on that, a residual evaluation method and a threshold computation method for fault detection and diagnosis are designed and formulated. A set of experiments and comparison experiments are made for verifying the effectiveness of the proposed unified fault detection and fault diagnosis scheme.