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Bearing fault data simulation generation method with characteristics of strong interference background noise
Published:2024-11-21 author:LV Dongxu, ZUO Yanfei, FAN Manyi, et al. Browse: 111 Check PDF documents
Bearing fault data simulation generation method with characteristics of 
strong interference background noise


LV Dongxu1,2, ZUO Yanfei1,2, FAN Manyi3, SUN Zeru3, KONG Xiangxing3


(1.College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing 100029, China; 2.Key Lab 

of Engine Health Monitoringcontrol and Networking of Ministry of Education, Beijing University of Chemical Technology, Beijing 

100029, China; 3.Basic & Applied Research Center, Aero Engine Academy of China, Beijing 101304, China)


Abstract: In the intelligent diagnosis of gas turbine engine bearing faults, there are some problems such as difficulty in intelligent diagnosis and scarcity of measured cases. Therefore, considering the nonlinear contact-impact excitation and the complex transmission characteristics of the engine thin-walled casing support structure, a bearing fault data simulation generation method with the characteristics of strong interference background noise of the engine was proposed. Comparing with the experimental data, the consistency of their fault characteristics was verified. Firstly, a multi-body contact transient dynamics model of a typical engine high-pressure rotor-bearing system was established, and the nonlinear bearing fault excitation force was obtained by simulating the complex contact and collision process of the fault bearing. Secondly, based on the high-fidelity finite element model of the engine casing, the pulse excitation response from the fault bearing position to the measuring point was calculated, and the complex transmission characteristics of the engine casing were explored in combination with the modal vibration shape. Then, on this basis, a time domain discrete convolution reconstruction method of casing measuring point signals based on nonlinear bearing fault excitation and complex transmission was proposed to simulate the key mechanism characteristics of bearing faults at casing measuring points. By further integrating the measured vibration data of healthy engines, the simulation data of bearing faults under the influence of factors such as working state airflow excitation and nonlinear interference were constructed. Finally, in order to verify the rationality of the fault characteristics of the simulation data, the envelope demodulation method based on the feature transfer mechanism was used to extract the weak bearing fault characteristics which were compared with the engine measured bearing fault experimental data. The research results show that the time domain characteristics of the engine bearing fault simulation data and the experimental data are similar, the fault characteristic frequency error in the envelope spectrum of the two is less than 1%, and the fault characteristic frequency and its multiplier amplitude are similar in size. It proves that the fault characteristics of engine bearing fault simulation data have certain rationality. It can provide support for engine bearing fault feature extraction and intelligent diagnosis algorithm training based on casing measurement points.

Key words:  gas turbine engine; contact collision excitation; complex transmission of casing; nonlinear excitation; transmission characteristics; timedomain discrete convolution; multibody contact transient dynamics; fault signal fusion reconstruction

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