DocumentCode
2168626
Title
Application of Cyclic Correlation Analysis to Gearbox Damage Assessment
Author
Feng, Zhipeng ; Hao, Rujiang ; Chu, Fulei
Author_Institution
Inst. of Vehicular Eng., Univ. of Sci. & Technol., Beijing, China
fYear
2009
fDate
17-19 Oct. 2009
Firstpage
1
Lastpage
5
Abstract
With regard to the cyclostationarity of gear vibration, cyclic correlation is used to extract the modulation features of gear vibration signals, so as to detect and assess localized gear damage. The cyclic auto-correlation of amplitude modulation and frequency modulation (AMFM) signals is deduced. The ratio between the cyclic auto-correlation slice (with time lag of 0) magnitude at cyclic frequencies of modulating frequency and 0 Hz is a monotonically increasing function of the amplitude modulation magnitude. Since AMFM is characteristic of gear vibration signals, and the modulation magnitude is related to localized gear damage degree, the ratio is used to assess the health status of gears. In the analysis of a gearbox experimental vibration signals, the ratio shows a monotonically increasing trend with the development of the gear tooth spoiling damage. It has potential to early detect incipient damage, to prognosticate severe damage, and to assess gearbox damage.
Keywords
amplitude modulation; condition monitoring; correlation methods; feature extraction; frequency modulation; gears; signal detection; vibrations; amplitude modulation; cyclic correlation analysis; feature extraction; frequency modulation; gear health status assessment; gear tooth spoiling damage development; gear vibration cyclostationarity; localized gearbox damage assessment; signal detection; Amplitude modulation; Autocorrelation; Feature extraction; Frequency modulation; Gears; Signal analysis; Signal processing; Statistics; Teeth; Vibrations;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location
Tianjin
Print_ISBN
978-1-4244-4129-7
Electronic_ISBN
978-1-4244-4131-0
Type
conf
DOI
10.1109/CISP.2009.5304587
Filename
5304587
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