Research On Fault Characterization And Diagnosis Method Of Planetary Gearbox

Planetary gear box is an important transmission parts and widely used in various industrial fields.Due to the actual industrial production and the terms of conditions,planetary gear box can produce various types of faults in the operation process,seriously influenced the normal operation of the equipment and increased costs and even cause safety accidents.So real-time monitoring and timely diagnosis to planetary gear box is needed,to carry out deep research in the monitoring method and signal processing technology is very important.As a result of various complex planetary gear box structure,vibration signal modulation,and the transmission paths are diversified,also by the interference of serious background noise,The complex mixed signal is produced.It has caused great difficulties for the signal acquisition and accurate fault diagnosis of the planetary gearbox,especially for early weak fault's timely monitoring and feature extraction.Based on the above reasons,this article mainly discusses the following contents:(1)Firstly the planet gearbox system's structure and common fault types and its reasons has been introduced.Combining the current research progress,the commonly used technical means and methods of vibration signal fault diagnosis the for planetary gear transmission system are introduced.(2)Based on mesh regularity of planetary gearbox,a detailed analysis and transmission process of planetary gear train are introduced,and the planetary gear box of normal and local fault are simulated in mathematical modeling analysis,and verified by using experimental data.Scientific theory basis for signal processing and fault feature extraction is provided.(3)The time domain and frequency domain characteristics are important reference indexes of the mechanical equipment fault identification.In this paper,the time and frequency characteristic parameters of vibration signals is used to research on the sun gear for the whole life cycle characteristics of planetary gearbox.From normal to severe fault condition are compared by the time and frequency domain index trend,and the vibration characteristics under different working conditions is analyzed.The fault classification was carried out by this method to lay a solid foundation for subsequent research.(4)The early failure of the vibration signals by environmental noise pollution is serious.The information is very weak and difficult to extract.Aimed at this problem,a weak fault feature extraction method based on parameters optimization MCKD is proposed.First the original signal noise reduction is processed by maximal kurtosis solution of convolution.Then set kurtosis and autocorrelation kurtosis coefficient as a selection criterion,to optimal select algorithm parameter combination and to explore the impact of the periodic characteristic;Then accurately obtained the fault characteristic frequency from the mixed noise signal.The effectiveness of the method is verified by the simulation signal and experimental data.(5)A planet gearbox fault simulation and signal acquisition system is designed.System includes signal acquisition based on LabVIEW platform development software and planetary gearbox fault simulation test bench.Software system can accomplish the signal's real-time acquisition and subsequent analysis processing,and the hardware platform can meet the needs of all kinds of working condition in the experiment.It has provided effective support for the entire study.The research's object is the sun gear.Simulation and experimental analysis results show that the proposed signal processing method has a good effects,this paper has a certain practical significance.