Title :
The fault analysis of gearbox based on time delay correlation demodulation technology
Author :
Li Bing ; Yang Cheng ; Zhang Lanyong
Author_Institution :
Coll. of Autom., Harbin Eng. Univ., Harbin, China
Abstract :
Vibration analysis is an important mean for gear condition monitoring and fault diagnosis. This paper starts with the analysis on the characteristics of correlation function. It was found through theoretical analysis that the autocorrelation function does not change the modulation characteristics of the modulated signal, but has a significant characteristic of noise reduction. Thereby, the delay correlation demodulation method is established for the diagnosis of gear vibration fault. Implementation steps of this method are as follows: the first step is the autocorrelation analysis of the measured vibration signals; the second is the delay of autocorrelation function; the final step is the Hilbert transform demodulation of time-delayed autocorrelation function.
Keywords :
Hilbert transforms; condition monitoring; correlation methods; demodulation; fault diagnosis; gears; mechanical engineering computing; vibrations; Hilbert transform demodulation; correlation function characteristics; gear condition monitoring; gear vibration fault diagnosis; gearbox fault analysis; measured vibration signal autocorrelation analysis; noise reduction; time delay correlation demodulation technology; time-delayed autocorrelation function; vibration analysis; Correlation; Delay effects; Demodulation; Frequency modulation; Gears; Transforms; Vibrations; Fault diagnosis; Gear; Time-delayed correlation demodulation; Vibration analysis;
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
DOI :
10.1109/ChiCC.2014.6896194