Study On Dynamic Characteristics Of Planetary Gear Transmission System With Fault Factors And Fault Extraction

Energy security issues have been plaguing people all the time.Wind energy,as a renewable and clean energy,has attracted more and more attention.Wind power has become an important development object in various countries.Gear system is an indispensable transmission device in wind turbine,and its importance is self-evident.With the progress of science and technology,the transmission mode of gears is more and more diverse,and people have never stopped exploring the dynamic characteristics of gear transmission system.In order to comprehensively and systematically analyze the dynamic characteristics of planetary gear transmission system and the influence of common fault factors on transmission system,the dynamic modeling of gear transmission system,including dynamic characteristics analysis of fault factors,fault feature extraction and experimental verification are completed in this paper.In order to explore the dynamic characteristics of planetary gear transmission system with fault factors,combining Hertz contact theory and gear excitation,the dynamic model of planetary gear transmission system considering the contact characteristics of tooth surface is established,and three fault factors of planetary gear,inner gear ring and solar gear are introduced into the model,respectively;the working history of transmission system under the influence of different fault factors is simulated.By analyzing the dynamic load spectrum and floating trajectory,the dynamic characteristics of the transmission system in the case of planetary gear failure are studied.It is concluded that the broken teeth of planetary gear and solar gear have a greater impact on the system than the broken teeth of inner gear ring;the frequency of the low-frequency region in the spectrum has a corresponding relationship with the failure frequency;the broken teeth of solar gear cause the radius of the floating trajectory of the solar gear to increase substantially.The study of the influence of fault factors on the dynamic characteristics of the system can provide a theoretical basis for the fault diagnosis of planetary gear transmission system.To solve the problem of inaccurate identification caused by natural frequency coupling in composite faults,an adaptive boundary suppression method for ARHVD is proposed.Methods Taking HVD as the core of decomposition algorithm,borrowing the excellent anti-modal aliasing performance of HVD,the problem of precise signal decomposition under frequency coupling was solved.Considering that the boundary effect easily leads to the error transfer of decomposition,another source of inaccurate decomposition,AR(auto regressive model)was proposed to optimize the HVD algorithm,which further realized adaptive restraint of boundary effect on the basis of ensuring anti-modal aliasing decomposition.Taking the wind turbine secondary parallel axle gearbox as the experimental object,the identification effect proves that ARHVD has obvious advantages in the complex frequency coupling fault diagnosis.