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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. |

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