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Journal ArticleDOI

An analytical model for the prediction of the vibration response of rolling element bearings due to a localized defect

Naresh Tandon, +1 more
- 21 Aug 1997 - 
- Vol. 205, Iss: 3, pp 275-292
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TLDR
In this paper, an analytical model has been proposed for predicting the vibration frequencies of rolling bearings and the amplitudes of significant frequency components due to a localized defect on outer race, inner race or on one of the rolling elements under radial and axial loads.
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This article is published in Journal of Sound and Vibration.The article was published on 1997-08-21. It has received 270 citations till now. The article focuses on the topics: Bearing (mechanical) & Vibration.

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Citations
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Journal ArticleDOI

A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearings

TL;DR: Vibration measurement in both time and frequency domains along with signal processing techniques such as the high-frequency resonance technique have been covered and recent trends in research on the detection of defects in bearings have been included.
Journal ArticleDOI

Bearing Health Monitoring Based on Hilbert–Huang Transform, Support Vector Machine, and Regression

TL;DR: The experimental results show that the use of the HHT, the SVM, and the SVR is a suitable strategy to improve the detection, diagnostic, and prognostic of bearing degradation.
Journal ArticleDOI

Models for Bearing Damage Detection in Induction Motors Using Stator Current Monitoring

TL;DR: New models for the influence of rolling-element bearing faults on induction motor stator current are described, based on two effects of a bearing fault: the introduction of a particular radial rotor movement and load torque variations caused by the bearing fault.
Journal ArticleDOI

A review on signal processing techniques utilized in the fault diagnosis of rolling element bearings

TL;DR: In this article, the authors have presented the various signal processing methods applied to the fault diagnosis of rolling element bearings with the objective of giving an opportunity to the examiners to decide and select the best possible signal analysis method as well as the excellent defect representative features for future application in the prognostic approaches.
Journal ArticleDOI

A summary of fault modelling and predictive health monitoring of rolling element bearings

TL;DR: In this article, the authors provide a critical review of the predictive health monitoring methods of the entire defect evolution process i.e. wear evolution over the whole lifetime and suggest enhancements for rolling element bearing monitoring.
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