Abstract
In monitoring and maintaining machineries, it is extremely important to identify and quantify friction and wear phenomena, for example the progression of wear and the state of friction between sliding surfaces. Because friction and wear processes involve deformation and fracture of materials, they generate elastic stress waves that can be detected and measured as acoustic emission (AE) signals. By measuring these AE signals, it is then possible to monitor tribological processes between sliding materials in situ. To establish parameters for condition-based maintenance based on AE technique, the relationship between changes in the wear state and changes in AE signals was investigated using a high-speed grease-lubricated slide bearing. Monitoring high-frequency AE signals of more than 1MHz that originates from adhesion is an effective way to detect early seizure in machineries.
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