Cyclostationary Analysis for Gearbox and Bearing Fault DiagnosisReport as inadecuate

Cyclostationary Analysis for Gearbox and Bearing Fault Diagnosis - Download this document for free, or read online. Document in PDF available to download.

Shock and Vibration - Volume 2015 2015, Article ID 542472, 12 pages -

Research Article

School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China

Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China

Received 5 May 2015; Revised 24 July 2015; Accepted 27 July 2015

Academic Editor: Dong Wang

Copyright © 2015 Zhipeng Feng and Fulei Chu. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Gearbox and rolling element bearing vibration signals feature modulation, thus being cyclostationary. Therefore, the cyclic correlation and cyclic spectrum are suited to analyze their modulation characteristics and thereby extract gearbox and bearing fault symptoms. In order to thoroughly understand the cyclostationarity of gearbox and bearing vibrations, the explicit expressions of cyclic correlation and cyclic spectrum for amplitude modulation and frequency modulation AM-FM signals are derived, and their properties are summarized. The theoretical derivations are illustrated and validated by gearbox and bearing experimental signal analyses. The modulation characteristics caused by gearbox and bearing faults are extracted. In faulty gearbox and bearing cases, more peaks appear in cyclic correlation slice of 0 lag and cyclic spectrum, than in healthy cases. The gear and bearing faults are detected by checking the presence or monitoring the magnitude change of peaks in cyclic correlation and cyclic spectrum and are located according to the peak cyclic frequency locations or sideband frequency spacing.

Author: Zhipeng Feng and Fulei Chu



Related documents