Rolling Element Bearing Condition Classification using Hoelder Exponents

Kumar, H S and Pai, Srinivasa P and Sriram, N S and Vijay, G S (2013) Rolling Element Bearing Condition Classification using Hoelder Exponents. NMAMIT Annual Research Journal, 3. pp. 43-48. ISSN 2249-0426

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Machinery condition monitoring has gained increasing interest in recent years, due to the need to decrease the amount of down time in the industries and to reduce the chances of serious damages and losses caused by failures. Rolling Element Bearings (REBs) are critical components in rotary machines and Condition Monitoring (CM) of REB is essential for enhancing productivity and safe running of the machine. Bearing fault detection, however, still remains a challenging task because most of the fault related signatures are nonstationary. The ability to efficiently detect non-stationary, non-periodic, transient features of the vibration signal makes the wavelet analysis a demanding tool for condition monitoring. Hence, bearing fault detection and diagnosis is an integral part of the preventive maintenance procedures. In this paper, vibration signals for three conditions of a deep groove ball bearing Normal (N), defect on inner race (IR) and defect on outer race (OR) were acquired from a customized bearing test rig, under one load and one speed conditions. Vibration signals collected from the different conditions of the bearing indicate variation in singularity that can be measured by Hoelder exponents. Accordingly, the Hoelder exponents were extracted using wavelet transform for different conditions of the bearing. The variation of the Hoelder exponents for defective bearing conditions with respect to normal bearing have been analysed by employing the statistical process control concept. This method lends itself for effective implementation in practical REB condition monitoring.

Item Type: Article
Uncontrolled Keywords: Rolling Element Bearing, Hoelder exponent (HE), Continuous wavelet transforms (CWT), statistical process control
Subjects: Engineering > MIT Manipal > Mechanical and Manufacturing
Depositing User: MIT Library
Date Deposited: 04 Apr 2014 11:36
Last Modified: 04 Apr 2014 11:36

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