Analysis and research on adaptive Time-Frequency analysis method

Abstract

Adaptive Time-Frequency analysis method is of great significance for extracting the fault characteristic frequency of actual complex non-stationary signals. Based on this method, this paper innovatively proposes a multi-channel data acquisition system based on LabVIEW to collect the vibration signal of the bearing test-bed; Through the analysis and comparison of EMD, ITD and LCD algorithms, the characteristics of their algorithms are found. The experimental results show that according to the data collected by LabVIEW multi-channel data acquisition system, the adaptive time-frequency method can be effectively selected to identify the faults of rolling bearings, improve the fault detection rate and practicability of the equipment, and ensure the safe and reliable operation of the equipment.