本文以从轴箱到高速铁路车辆的轴承为研究对象，并通过分析来自轴承的振动信

This paper takes bearings from axle boxes to high-speed railway vehicles as the research object, and analyzes the vibration signals from the bearings to diagnose the bearings. In this paper, a series of analysis and research on the modulation characteristics of vibration signals, noise reduction and other high noise noise error characteristics are carried out. <br>This design mainly completed the following work: <br>(1) In this article, we studied the background and importance of diagnosing bearing defects, and explained how to calculate the characteristic shape, defect type, defect mechanism and characteristic frequency of bearing defects. The research status and signal analysis and processing methods at home and abroad are introduced. <br>(2) According to the signal modulation characteristics of the vibration bearing rolling plate and its sensitivity to environmental noise interference, the decomposition method of the VMD-based scroll signal bearing failure is studied. Apply VMD and autocorrelation analysis to the diagnosis of rolling board faults. The analysis of the measured data shows that the signal decomposition and anti-aliasing effect of this method is obvious, and the weak fault diagnosis of the rolling pad is realized.

In this paper, bearings from shaft boxes to high-speed railway vehicles are studied, and bearing diagnosis is carried out by analyzing vibration signals from bearings. In this paper, a series of analysis and research on the modulation characteristics of vibration signals, noise reduction and other high noise error characteristics are carried out.<br>This design mainly completes the following work:<br>(1) In this article, we study the background and importance of diagnosing bearing defects and explain how to calculate the characteristic shape, defect type, defect mechanism and characteristic frequency of bearing defects. This paper introduces the research status and signal analysis and processing methods at home and abroad.<br>(2) According to the signal modulation characteristics of the vibration bearing rolling plate and its sensitivity to environmental noise interference, the decomposition method of vortex signal bearing fault based on VMD is studied. Apply VMD and autocorrelation analysis to the diagnosis of roller failures. The analysis of the measurement data shows that the signal decomposition and anti-aliasing of the method are obvious, and the diagnosis of the weak fault of the rolling pad is realized.

In this paper, the bearing from axle box to high-speed railway vehicle is taken as the research object, and the bearing diagnosis is carried out by analyzing the vibration signal from the bearing. In this paper, the modulation characteristics of vibration signal, noise reduction and other high noise error characteristics are analyzed and studied.<br>This design mainly completes the following work:<br>(1) In this paper, we study the background and importance of diagnosing bearing defects, and explain how to calculate the characteristic shape, defect type, defect mechanism and characteristic frequency of bearing defects. The research status and signal analysis and processing methods at home and abroad are introduced.<br>(2) According to the signal modulation characteristics of the rolling element of the vibration bearing and its sensitivity to the disturbance of the environment noise, the decomposition method of the bearing fault based on VMD is studied. VMD and autocorrelation analysis are applied to the fault diagnosis of rolling plate. The analysis of the measured data shows that the signal decomposition and anti aliasing effect of this method are obvious, and the weak fault diagnosis of rolling pad is realized.<br>