The difference of single component characteristics which is caused by manufacture and installation can make the performance discrepant.A new entropy criterion particle swarm optimization (PSO) has been presented to revise the engine model based on the trial run data.The new algorithm adjusted the speed of inertia weight and migrated the particles of part poor fitness at the same time based on entropy discrimination.The presented algorithm overcame the defect of the original algorithm.The simulation results indicate that the single engine model correction based on entropy criterion PSO is better than the correction based on influence coefficient matrix (ICM).It is verified that the maximum error of the performance parameter is under 1.5%
which means the single engine model and real engine match better.
Dynamical response feature analysis based on 3⁃dimensional blade tip clearance and diagnosis method for blade crack
Pattern recognition with uncertainty for engine gas path diagnosis
SVM diagnosis method of rotor vibration faults based on integration of information exergy
Diagnosis method for crack-rubbing coupled fault in rotor system based on integration of information entropy distance
Six-component balance calibration technology for nozzle model testing facility
Related Author
Xiaodong ZHANG
Yingjie ZHANG
Yiwei XIONG
Hongcheng LIU
Bochao FAN
Xin HUANG
HE Long
YANG Lei
Related Institution
Key Laboratory of Education Ministry for Modern Design and Rotor⁃Bearing System,Xi'an Jiaotong University
School of Mechanical Engineering,Xi'an Jiaotong University
China Gas Turbine Establishment, Aviation Industry Corporation of China
College of Energy and Power Engineering,Nanjing University of Aeronautics and Astronautics
Liaoning Key Laboratory of Advanced Test Technology for Aeronautical Propulsion System, Faculty of Aerospace Engineering, Shenyang Aerospace University