Fault diagnosis and adaptive reconfiguration control for sensors in aeroengine based on improved least squares support vector

A method of fault diagnosis and adaptive reconfiguration control based on improved least squares support vector machine(LS-SVM) was presented for sensors in aeroengine control system.LS-SVM robustness was improved by adding weighed values to errors,and its sparseness was improved by clipping algorithm.Some turbofan engine normal models were set up with improved LS-SVM.The threshold discriminance was used to real-timely watch and diagnose sensors fault.Adaptive reconfiguration control for aeroengine was realized by model output which is fed back to closed loop control system in replacement of fault sensor measurements.The simulation results show that the proposed method can exactly diagnose sensor faults in time,and also effectively realize adaptive reconfiguration control.