Fault Diagnosis And Analysis Of Conflux Planetary Gear Based On Digital Twin

Due to its power input characteristics of double input shafts,huipop star transmission system can control the steering and straight travel of vehicles,which is widely used in the transmission system of vehicles.When the vehicle is running under complex working conditions,the gear bears the repeated action of multi-dimensional,multi-directional and multistate alternating load,and the resulting faults are often uncertain,and sometimes multiple faults occur at the same time.Therefore,it is of great significance to carry out the research on the dynamic characteristics of planetary gear train faults and intelligent fault diagnosis.In the field of fault diagnosis,digital twin technology can realize the whole life cycle management of mechanical equipment.Compared with the previous fault health management methods,the use of digital twin technology can realize the real-time early warning,monitoring,diagnosis and feedback of faults.The process of applying digital twin technology to the fault diagnosis and analysis of Conflux Planetary Gear is a multi-disciplinary,multi domain,multi probability,multi-scale and multi physical quantity simulation analysis,so as to realize the whole life cycle management of Conflux Planetary Gear.In this paper,the digital twin model of rigid flexible coupling dynamics of Conflux Planetary Gear is established.Then,based on the relevant theory,the dynamic response law of gear transmission system under single fault and combined fault of gear system and the fault dynamic characteristics of gear system under steady speed and variable speed are studied by using the parametric rigid flexible coupling dynamics modeling method.Because the planetary gear is affected by various alternating stresses of the ring gear and the sun gear during operation,it has a higher probability of failure than other components.In addition,the gear rotation frequency,the planetary gear revolution frequency,the meshing frequency,the natural frequency of each component and the mixed superposition of various frequencies are easy to cause the resonance of the gear system,Therefore,in this paper,the structural mechanics and modal analysis of planetary gears and gear boxes are carried out to explore their mechanical and vibration characteristics.Then,based on the digital twin of Conflux Planetary Gear simulation model,the fault simulation data of the simulation model is combined with the fault data of the test-bed,and the intelligent diagnosis model of various fault condition data is established by using the optimized deep confidence network(DBN).The results show that the rigid flexible coupling dynamic model of confluence planetary gearbox established in this paper can simulate the faults of planetary gear system,And accurately reflect the fault characteristics of different faults.The designed DBN neural network model can accurately identify the data sample set of five different working conditions formed by the integration of simulation model data and test-bed data.Under the parameter optimization of control variables,the recognition and classification accuracy of DBN network model for the data sample set of five States has reached 99.72%.