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cjhycy

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1）蔡剑华，胡惟文，王先春. 基于高阶统计量的滚动轴承故障诊断方法，振动、测试与诊断，2013,33（2）：298-301
Cai Jianhua, Hu Werwen, Wang Xianchun. Roller Bearing Fault Diagnosis Based on Higher-Order Statistics, Journal of Vibration, Measurement & Diagnosis, 2013,33（2）：298-301.

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cjhycy: 金币+10, 博学EPI+1, ★★★★★最佳答案 2013-12-21 14:55:07

Accession number:
20132316396553
Title: Roller bearing fault diagnosis based on higher-order statistics
Authors:    Cai, Jianhua1 ; Hu, Weiwen1; Wang, Xianchun1
Author affiliation: 1 Information Institute, Hunan University of Arts and Science, Changde, 415000, China
Corresponding author:    Cai, J. (cjh1021cjh@163.com)
Source title: Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis
Abbreviated source title: Zhendong Ceshi Yu Zhenduan
Volume: 33
Issue: 2
Issue date: April 2013
Publication year: 2013
Pages: 298-301
Language: Chinese
ISSN:    10046801
CODEN:    ZCZHFY
Document type: Journal article (JA)
Publisher: Nanjing University of Aeronautics an Astronautics, 29 Yudao Street, Nanjing, 210016, China
Abstract: Based on the fact that the fault roller bearing signal is affected easily by Gauss noise, the fault diagnosis method based on the high-order statistics is proposed. This method uses higher-order spectra to reconstruct power spectra and extracts fault feature information with the reconstructed power spectra. A model is established using higher-order spectra to reconstruct power spectra. Meanwhile, analysis is conducted using the man-made data and recorded MT data. The results show that the presented method is superior to the traditional power spectral method in suppressing Gaussian noise and can extract more useful information. Compared with the traditional method, the analysis results from roller bearing signals with inner-race, out-race or bearing ball faults show that the diagnosis approach could extract fault characteristics effectively and its resolution is higher.
Number of references: 10
Main heading:    Higher order statistics
Controlled terms:    Failure analysis  -  Gaussian noise (electronic)  -  Power spectrum  -  Roller bearings
Uncontrolled terms:    Fault characteristics  -  Fault diagnosis method  -  Fault feature  -  Gauss noise  -  High order statistics  -  Higher-order spectrum  -  Power spectral  -  Roller bearing fault
Classification code:    922.2 Mathematical Statistics -  921 Mathematics -  716 Telecommunication; Radar, Radio and Television -  941 Acoustical and Optical Measuring Instruments -  713 Electronic Circuits -  601.2 Machine Components -  421 Strength of Building Materials; Mechanical Properties -  711 Electromagnetic Waves
Database: Compendex
Compilation and indexing terms, © 2013 Elsevier Inc.