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《China Mechanical Engineering(中国机械工程)》 2009-14
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A Fault Diagnosis Approach for Rolling Bearings Based on Time Series Decomposition and Blind-Equalization

Zhang Jinyu Huang Xianxiang The Second Artillery Engineering College,Xi'an,710025  
After analyzing the shortcomings of current bearing fault diagnosis technologies,a novel enhanced blind equalization(BE) technology based on time-series decomposition(TD) analysis was proposed to extract directly impacting features and diagnose bearings' faults herein.First,the blind equalization model and algorithm of impacting signal processing of rolling bearings were established based on the BE theory and eigenvector algorithm(EVA) algorithm.Then,the TD theory and method were applied to the model and algorithm.After these,the enhanced signal processing and fault diagnosis algorithm based on TD and BE was proposed,and the improving method of the inherent shortcomings of the algorithm was presented.Finally,the built model and algorithm were applied to two impact experiments and two real engineering data for verification.The results show that the method is very effective in extracting the impacting features and fault diagnosis for rolling bearings.
【Fund】: 中国博士后科学基金资助项目(20080431392)
【CateGory Index】: TH133.3
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【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 GAO Bin;Flying College,Binzhou University;;Fault Characteristics Automatic Extraction and Intelligent Diagnosis of Aero-engine Rotor Based on HHT[J];滨州学院学报;2015-06
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