The finite element model of dual rotor-supporting system was constructed.Based on the finite element model
vibration signal under the faults of mass unbalance and local shaft bow was simulated.A model-based method was developed to identify the fault in the dual rotor-supporting system.1-fault search method
2-fault search method and 3-fault search method were utilized to identify the fault efficiently and accurately.The validation results show that the method could identify single fault and multi-concurrent faults accurately and confirm the fault location
severity and phase simultaneously.This method optimizes fault search process
which is used to decreases 98.9% calculation amount in the ideal situation
and accelerates fault identification.Besides
if comparing with the identification results by adding different adding noises
the relative error is around 1% which validates good robustness to noise.
Research on model-based safety analysis for aero-engine
Real-time monitor and diagnosis of combustion system based on kernel principal component analysis
Rolling bearing fault diagnosis based on wavelet packet analysis and multi kernel learning
Fault diagnosis method of rolling bearing based on dual-tree complex wavelet packet transform and SVM
Identification of multiple faults of the aircraft engine digital control system
Related Author
DING Shui-ting
LI Guo
BAO Meng-yao
SONG Han-qiang
ZHAO Yong
LI Ben-wei
ZHU Fei-xiang
ZHOU Lei
Related Institution
Department of Aircraft Airworthiness Certification, Civil Aviation Management Institute of China
National Key Laboratory of Science and Technology on Aero-Engine Aero-Thermodynamics,School of Energy and Power Engineering,Beijing University of Aeronautics and Astronautics
Graduate Students' Brigade, Naval Aeronautical and Astronautical University
Department of Aircraft Engineering, Naval Aeronautical and Astronautical University
School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics