Recent Study on Failure Diagnosis and Prognosis of Sliding Bearings

Abstract

Sliding bearings are widely used machine elements from which the correct operationdepends on the availability of many technical systems and great attention is paid to the study of the prediction method for sliding bearings. Problems that occur with sliding bearings lead to high levels of vibration and noise. One of the important parameters in the diagnosis and prediction of the sliding bearings failure is the thermal analysis. In addition to these parameters, frequent vibration spectrum analysis, oil film thickness and other relevant parameters are often used. Using advanced technologies, it is possible to significantly reduce the duration of measurement and on the other hand increase the accuracy of diagnostic methods. Fuzzy logic is a mathematically formalized mode of representation modeling uncertainty. In this paper, a selection of damage in the operation of a sliding bearing has been made and the way of these problems diagnosing is shown. Methods that integrate several diagnostic parameters into one show reliable methods of early detection of sliding bearing damage.