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...
Saved in:
Main Authors: | Hu Aijun, Lin Jianfeng, Sun Shangfei, Xiang Ling |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2017-01-01
|
Series: | Shock and Vibration |
Online Access: | http://dx.doi.org/10.1155/2017/9375491 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Peak-Based Mode Decomposition for Weak Fault Feature Enhancement and Detection of Rolling Element Bearing
by: Zhi Xu, et al.
Published: (2020-01-01) -
Multitask Convolutional Neural Network for Rolling Element Bearing Fault Identification
by: Mingxing Jia, et al.
Published: (2020-01-01) -
A Signal Based Triangular Structuring Element for Mathematical Morphological Analysis and Its Application in Rolling Element Bearing Fault Diagnosis
by: Zhaowen Chen, et al.
Published: (2014-01-01) -
A Novel Faults Diagnosis Method for Rolling Element Bearings Based on ELCD and Extreme Learning Machine
by: Mingliang Liang, et al.
Published: (2018-01-01) -
A Novel Method for Adaptive Multiresonance Bands Detection Based on VMD and Using MTEO to Enhance Rolling Element Bearing Fault Diagnosis
by: Xingxing Jiang, et al.
Published: (2016-01-01)