AE法を用いた円すいころ軸受の焼付き予兆検知に関する研究

抄録

In recent years, sensing technology has been attracting attention in various industrial fields, and the demand for state detection technology of rolling bearings is increasing. An acoustic emission (AE) technique is effective means for state detection of rolling bearings, because it is more sensitive than the conventional technique. In this study, the AE signals generated from tapered roller bearings when seizure occurred due to starved lubrication were investigated. The AE signal changes during the process of reducing lubricating oil were analyzed. The AE frequency spectra were mainly in the frequency range around 0.1 to 0.4 MHz, and the signal strength was increasing during the process of reducing lubricating oil. Before seizure occurred, the AE signal strength in the high frequency around 1.2 MHz was increasing. In addition, surface changes of the tapered roller bearing due to seizure were observed. Based on these results, it became clear that the direct contact of the metal surface corresponds to the AE frequency peak around 0.1 to 0.4 MHz, and the progress of adhesion corresponds to the shift of the centroid frequency to the high frequency side.