IJERT-EMS
IJERT-EMS

Identification of bearing assembly defects using Finite Element Analysis and Condition Monitoring Techniques


Identification of bearing assembly defects using Finite Element Analysis and Condition Monitoring Techniques
Authors : D. Azad, K. Ramji
Publication Date: 12-09-2012

Authors

Author(s):  D. Azad, K. Ramji

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Vol.1 - Issue 6 (August- 2012)

e-ISSN:   2278-0181

Abstract

Industrial fans are integral components of many industrial plants, particularly Steel plants, power plants, paper and printing, automotive, Air conditioning, petro chemical plants. Fans are normally mounted in bearing-housing assembly, where fan failure can cause expensive unscheduled plant shutdowns. Early detection of faults in these systems allows the user to initiate repairs and it can prevent costly maintenance. Fan problems result from impeller unbalance, misalignment of shafts, cracks, resonance, looseness, bearing problems etc in this paper, fault detection techniques which are based on vibration signals that are acquired from accelerometers, are proposed. Bearing fault detection is conducted by signal processing methods, based on the vibration signature of the rolling elements of bearings. In addition, infrared Theromgraphy technique is proposed as an integrated condition monitoring system with the existing monitoring system to increase the performance of fault detection and to know the degradation of bearings and also theoretical and numerical analysis of the heat conduction process of the bearing to its housing is presented and discussed.

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