DocumentCode
2469779
Title
Gearbox diagnosis based on cyclic spectral analysis
Author
Feng, Zhipeng ; Zuo, Ming J.
Author_Institution
Sch. of Mech. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
fYear
2012
fDate
23-25 May 2012
Firstpage
1
Lastpage
5
Abstract
With regards to the cyclostationarity of gear vibration, cyclic spectral analysis is used to extract the modulation features of gearbox vibration signals, so as to detect and locate localized gear damage. The cyclic spectral density of amplitude modulation and frequency modulation processes characteristic of gear vibration signals is deduced, and its properties in joint cyclic frequency-frequency domain are summarized. The performance of cyclic spectral analysis in gear fault diagnosis is illustrated by the vibration signal analysis of a gearbox under normal and faulty status. The gear tooth spalling is detected according to the presence of more peaks on the cyclic frequency-frequency plane, and is located according to the location of cyclic spectral peaks.
Keywords
amplitude modulation; condition monitoring; frequency modulation; gears; mechanical engineering computing; signal processing; vibrations; amplitude modulation process; cyclic frequency-frequency domain; cyclic spectral analysis; cyclic spectral peak; frequency modulation process; gear tooth spalling; gear vibration cyclostationarity; gearbox diagnosis; gearbox vibration signal; localized gear damage; vibration signal analysis; Analytical models; Frequency modulation; cyclic spectrum; fault diagnosis; gear; modulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Prognostics and System Health Management (PHM), 2012 IEEE Conference on
Conference_Location
Beijing
ISSN
2166-563X
Print_ISBN
978-1-4577-1909-7
Electronic_ISBN
2166-563X
Type
conf
DOI
10.1109/PHM.2012.6228868
Filename
6228868
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