Fault diagnosis and analysis of rolling bearings in aircraft engine rotor system based on digital analog joint drive

DOI:	10.11809/bqzbgcxb2025.02.036
Keywords:	aircraft engines; rolling bearings; feature extraction; digital analog joint; fault diagnosis
Abstract:	As a joint in the rotor system of aircraft engines in fighter jets, rolling bearings are prone to faults due to complex working environments and variable working conditions. In addition, there is a problem of low diagnostic accuracy due to the inability to provide high identification fault data during fault diagnosis. Therefore, a sample enhanced fault diagnosis method based on digital analog joint drive is proposed. Firstly, ABAQUS is used to perform dynamic finite element simulation on rolling bearings and collect vibration acceleration signals of different fault types as fault samples; Then, by down sampling the experimental data of the rotor system, make it consistent with the sampling frequency of the finite element fault data; Finally, the finite element fault data is added as labels to the experimental data for sample augmentation, and the temporal features are extracted using a bidirectional temporal feature extraction model to complete sample augmentation fault diagnosis. The experimental data results of finite element simulation of faulty bearings and rotor rolling bearing systems indicate that the proposed sample enhanced fault diagnosis method provides a new approach to improve diagnostic accuracy in the absence of obvious fault labels.
Issue:	Vol. 46 No. 2 (2025)
Published:	2025-02-28
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