Please use this identifier to cite or link to this item: http://13.232.72.61:8080/jspui/handle/123456789/443
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dc.contributor.authorManjunath, Attel.-
dc.contributor.authorGirish, D. V.-
dc.date.accessioned2018-10-12T05:36:06Z-
dc.date.available2018-10-12T05:36:06Z-
dc.date.issued2013-08-
dc.identifier.citationManjunath, A., & Girish, D. V. (2013). Defect detection in deep groove polymer ball bearing using vibration analysis. International Journal of Recent advances in Mechanical Engineering (IJMECH), 2(3), 45-52.en_US
dc.identifier.urihttps://wireilla.com/engg/ijmech/papers/2313ijmech05.pdf-
dc.identifier.urihttp://13.232.72.61:8080/jspui/handle/123456789/443-
dc.description.abstractOver the past decades there have been many major advances in the development of high strength to lightweight polymeric composites in a variety of engineering applications. In this paper an effort is made to study the performance of polymer ball bearings made with Polyacetal (POM) material. Ball bearings are widely used in industry from home appliances to aerospace industry. Proper functioning of these machine elements is extremely important in order to prevent catastrophic damages. It is therefore, important to monitor the condition of the bearings and to know the severity of the defects before they cause serious catastrophic damages. Hence, the study of vibrations generated by these defects plays an important role in quality inspection as well as for condition monitoring of the ball bearing/machine element. This paper describes the vibration analysis technique to detect the defects in the ball bearing. The Fast Fourier Transform (FFT) detected the frequencies of damage present during the vibration analysis of a ball bearingen_US
dc.language.isoenen_US
dc.publisherIJMECHen_US
dc.subjectMechanical engineeringen_US
dc.subjectVibration signalen_US
dc.subjectsignal analysisen_US
dc.titleDefect Detection In Deep Groove Polymer Ball Bearing using Vibration Analysis.en_US
dc.typeArticleen_US
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