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2022 | OriginalPaper | Buchkapitel

The Diagnostic Analysis of the Rolling Element Bearings for the Machine Tool Applications Using Dimension Theory

verfasst von : R. G. Desavale, Jitendra Kumar Katiyar, T. Jagadeesha

Erschienen in: Recent Advances in Manufacturing, Automation, Design and Energy Technologies

Verlag: Springer Singapore

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Abstract

Vibration measurement in condition monitoring is gaining lots of importance in industry. Correct detection of the defects in bearings saves lots of energy, time, and cost of the product. Most of the rotating machines use bearings, both sliding contact and roller contact bearings. Choice of the bearing depends on the load conditions, velocity, environments, and other factors. In industry, it is estimated that 15% of the loss is due to wear, friction, and improper lubrication. In this work rolling element bearing failure analysis is done using dimensional analysis as well as experiments. The multiple defects such as unbalance and radial clearance of the bearing systems are investigated using experimentation. Effect of unbalance on the vibration amplitude is studied in this work. It is found that unbalance has a crucial role to play in reduction of the vibration characteristics of the rotor system and earlier detection of the unbalance can save cost and reduce unnecessary breakdown of the rotating machines

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Metadaten
Titel
The Diagnostic Analysis of the Rolling Element Bearings for the Machine Tool Applications Using Dimension Theory
verfasst von
R. G. Desavale
Jitendra Kumar Katiyar
T. Jagadeesha
Copyright-Jahr
2022
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-16-4222-7_79

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