A Novel Approach of Impulsive Signal Extraction for Early Fault Detection of Rolling Element Bearing
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 vibrat...
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Format: | Article |
Language: | English |
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Wiley
2017-01-01
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Series: | Shock and Vibration |
Online Access: | http://dx.doi.org/10.1155/2017/9375491 |
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author | Hu Aijun Lin Jianfeng Sun Shangfei Xiang Ling |
author_facet | Hu Aijun Lin Jianfeng Sun Shangfei Xiang Ling |
author_sort | Hu Aijun |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-2e2fa128a8dc481f98946e9ec328be8a |
institution | Kabale University |
issn | 1070-9622 1875-9203 |
language | English |
publishDate | 2017-01-01 |
publisher | Wiley |
record_format | Article |
series | Shock and Vibration |
spelling | doaj-art-2e2fa128a8dc481f98946e9ec328be8a2025-02-03T07:25:21ZengWileyShock and Vibration1070-96221875-92032017-01-01201710.1155/2017/93754919375491A Novel Approach of Impulsive Signal Extraction for Early Fault Detection of Rolling Element BearingHu Aijun0Lin Jianfeng1Sun Shangfei2Xiang Ling3Department of Mechanical Engineering, North China Electric Power University, Baoding, Hebei Province 071003, ChinaDepartment of Mechanical Engineering, North China Electric Power University, Baoding, Hebei Province 071003, ChinaDepartment of Mechanical Engineering, North China Electric Power University, Baoding, Hebei Province 071003, ChinaDepartment of Mechanical Engineering, North China Electric Power University, Baoding, Hebei Province 071003, ChinaThe 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.http://dx.doi.org/10.1155/2017/9375491 |
spellingShingle | Hu Aijun Lin Jianfeng Sun Shangfei Xiang Ling A Novel Approach of Impulsive Signal Extraction for Early Fault Detection of Rolling Element Bearing Shock and Vibration |
title | A Novel Approach of Impulsive Signal Extraction for Early Fault Detection of Rolling Element Bearing |
title_full | A Novel Approach of Impulsive Signal Extraction for Early Fault Detection of Rolling Element Bearing |
title_fullStr | A Novel Approach of Impulsive Signal Extraction for Early Fault Detection of Rolling Element Bearing |
title_full_unstemmed | A Novel Approach of Impulsive Signal Extraction for Early Fault Detection of Rolling Element Bearing |
title_short | A Novel Approach of Impulsive Signal Extraction for Early Fault Detection of Rolling Element Bearing |
title_sort | novel approach of impulsive signal extraction for early fault detection of rolling element bearing |
url | http://dx.doi.org/10.1155/2017/9375491 |
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