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
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;
Conference_Titel :
Prognostics and System Health Management (PHM), 2012 IEEE Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-1909-7
Electronic_ISBN :
2166-563X
DOI :
10.1109/PHM.2012.6228868