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
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;
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
DOI :
10.1109/CISP.2009.5304587