Turbofan Engine Fault Diagnosis using Particle Filter Technique

A method of fault diagnosis without linear models for turbofan engine based on particle filter has been designed. Firstly, the value of particular parameters from sensors that contain noise and affected by disturbance would be estimated. Then, set threshold and construct residual signal from the estimated parameters and measured value according to the characteristic of particle filter. Simulation shows that the 30% deviation of HPC's efficiency will lead to the change of 100 000% for residual signal. 2% deviation of HPC's efficiency would lead to 600% change of the residual signal, and the change of residual's change could be used to determine the degree of degeneration. The residual based on particle filter could distinguish degeneration from faults to achieve the objective of fault diagnosis.