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Shock and Vibration
Volume 2017, Article ID 9375491, 11 pages
Research Article

A Novel Approach of Impulsive Signal Extraction for Early Fault Detection of Rolling Element Bearing

Department of Mechanical Engineering, North China Electric Power University, Baoding, Hebei Province 071003, China

Correspondence should be addressed to Hu Aijun; moc.621@uhoaldb

Received 13 February 2017; Revised 13 July 2017; Accepted 20 July 2017; Published 31 August 2017

Academic Editor: Mariano Artés

Copyright © 2017 Hu Aijun et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The fault signals of rolling element bearing are often characterized by the presence of periodic impulses, which are modulated high-frequency harmonic components. The features of early fault in rolling bearing are very weak, which are often masked by background noise. The impulsiveness of the vibration signal has affected the identification of characteristic frequency for the early fault detection of the bearing. In this paper, a novel approach based on morphological operators is presented for impulsive signal extraction of early fault in rolling element bearing. The combination Top-Hat (CTH) is proposed to extract the impulsive signal and enhance the impulsiveness of the bearing fault signal, and the envelope analysis is applied to reveal the fault-related signatures. The impulsive extraction performance of the proposed CTH is compared with that of finite impulse response filter (FIR) by analyzing the simulated bearing fault signals, and the result indicates that the CTH is more effective in extracting impulsive signals. The method is evaluated using real fault signals from defective bearings with early rolling element fault and early fault located on the outer race. The results show that the proposed method is able to enhance the impulsiveness of early bearing fault signals.