Research On Vibration Test And Fault Analysis Of RV Reducer

In the context of the new industrial revolution,high-end CNC machine tools and industrial robots have become the key areas for the development of China’s manufacturing industry.The operational health status of RV reducers determines the execution efficiency and accuracy of industrial robots.It also affects the long-term stable operation of industrial robots.The RV reducer has a complex structure and tight engagement.There are also many variables considered in actual monitoring.And disassembling the reducer for testing and reinstalling it will cause a decrease in accuracy.This article will start from the perspective of differences in internal component structure,dimensions,and vibration characteristics of reducers.Research on vibration testing and fault diagnosis methods for RV reducers.The main work of this article is as follows:This article analyzes the structural characteristics and transmission working principle of the RV reducer,and calculates the working frequency of each component.Study the main sources of excitation for the vibration of the RV reducer system.By analyzing the natural frequency of cycloidal gears,crank shafts,and planetary gears.Provide a theoretical basis for subsequent detection experiments.This article uses the RV reducer dynamic testing bench to conduct constant speed and load testing and local fault testing,and obtains vibration data of the RV reducer under complex working conditions.The experiment shows that at a constant speed,the vibration acceleration shows an upward trend with the increase of load,but the change of load does not change the distribution of components in each frequency response.The meshing frequency of the solar wheel and its doubling frequency,as well as the meshing vibration frequency with the primary transmission,are the main excitation for system vibration.When there is a local fault on a tooth of the sun gear,the magnitude of all vibration impacts is a multiple of the fault characteristic frequency of the sun gear.Provide data support for the research and verification of RV reducer status monitoring.This paper proposes the CEEMDAN-PE wavelet packet denoising algorithm to address the problem of strong noise in the vibration signal of the gearbox.This algorithm first performs CEEMDAN decomposition on the original acceleration signal and then performs wavelet packet denoising.Reconstruct the denoised modal components with the unprocessed modal components to obtain a pure signal.Improve signal-to-noise ratio and computational accuracy.This article lists the types and causes of RV reducer faults.And use the Grey Wolf algorithm to select appropriate SVM parameters for parameter optimization,thereby improving the fault recognition rate.The accuracy of the proposed method is verified by experimental data validation.The fault diagnosis method based on grey wolf optimized support vector machine has been used for pattern recognition of typical faults.This article builds a reducer monitoring system platform.It includes functions such as data collection,data preprocessing,and fault analysis.It can achieve state monitoring and fault analysis of reducers under complex working conditions.