Failure diagnosis and prognosis of sliding bearings

dc.citation.spage012018
dc.citation.volume659
dc.contributor.authorAntunović, Ranko
dc.contributor.authorVučetić, Nikola
dc.contributor.authorHalep, Amir
dc.date.accessioned2023-10-20T12:43:42Z
dc.date.available2023-10-20T12:43:42Z
dc.date.issued2019
dc.description.abstractSliding bearings are widely used machine elements from which the correct operation depends 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 failure of sliding bearings 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. Phase 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 diagnosing these problems is shown. Methods that integrate several diagnostic parameters into one show reliable methods of early detection of slip bearing damage.
dc.identifier.doi10.1088/1757-899X/659/1/012018
dc.identifier.urihttps://vaseljena.ues.rs.ba/handle/123456789/876
dc.language.isoen
dc.sourceIOP Conference Series: Materials Science and Engineering
dc.titleFailure diagnosis and prognosis of sliding bearings
dc.typeArticle
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