Sliding Bearing Fault Diagnosis Based on Acoustic Emission Signal Feature Extraction Technology
Sliding bearings are an important supporting component in steam turbines.Maintaining the normal operation of sliding bearings can reduce equipment loss and maintenance costs.Therefore,real-time monitoring and fault diagnosis of sliding bearings are necessary.As a dynamic non-destructive testing method,acoustic emission technology is more sensitive to signal response and can continuously monitor equipment,making it suitable for real-time monitoring and fault diagnosis of equipment.This article starts from the generation mechanism of acoustic emission signals and proves through analysis that the energy change of acoustic emission signals can represent the friction state of bearings.Then,three new feature parameters are constructed to analyze the acoustic emission signals,and experiments have shown that they can reflect the friction state at that time and are more sensitive than traditional feature parameters.
acoustic emission signalsliding bearingsfeature signal extractionfault diagnosis
万方数据
维普
