Fault Diagnosis for Aero-engine Based on ESVR Information Fusion

An algorithm based on ESVR information fusion for aero-engine fault diagnosis is developed,which combines with the advantages of neural networks and Kalman filter to detect gaspath anomalies and assess component degradation.The problem of diagnostic accuracy in case of modeling errors and limited fault mode samples is resolved.Digital simulation carried out on a given two-spool turbofan engine gaspath component fault diagnosis highlights the validity of the proposed ESVR information fusion diagnostic technique.