Fault Diagnosis of Demountable Disk-Drum Aero-Engine Rotor Using Customized Multiwavelet Method
Jinglong Chen1, Yu Wang2, Zhengjia He3
1State Key Laboratory for Manufacturing and Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, China. jlstrive2008@mail.xjtu.edu.cn.
Sensors (Basel, Switzerland)
|October 30, 2015
Summary
A new customized ensemble multiwavelet method enhances aero-engine rotor condition monitoring. This technique accurately detects faults like cracks, improving aircraft safety and preventing breakdowns.
Area of Science:
- Aerospace Engineering
- Mechanical Engineering
- Vibration Analysis
Background:
- Aero-engine rotor integrity is critical for flight safety.
- Assembly looseness and cracks cause unscheduled breakdowns and accidents.
- Effective condition monitoring and fault diagnosis are essential.
Purpose of the Study:
- To develop a customized ensemble multiwavelet method for aero-engine rotor condition identification.
- To utilize vibration data for detecting abnormal conditions and faults.
- To enhance the reliability and safety of aero-engine operations.
Main Methods:
- Construction of a customized multiwavelet basis function using a symmetric multiwavelet lifting scheme.
- Application of customized ensemble multiwavelet transform to process vibration signals.
- Computation of normalized information entropy of multiwavelet decomposition coefficients for condition evaluation.
Main Results:
- Successful fault detection on an experimental aero-engine rotor.
- Accurate identification of a crack fault in a demountable disk-drum aero-engine rotor.
- Demonstrated excellent performance and robustness against noise in simulations and field experiments.
Conclusions:
- The proposed customized ensemble multiwavelet method is highly effective for aero-engine rotor fault detection.
- The method provides a reliable approach for condition monitoring and diagnosis.
- This technique contributes to improved aircraft safety and operational reliability.
