Title :
Bearing damage detection method based on second order cyclic statistic
Author :
Liu, Yi ; Xiang, Jiawei
Author_Institution :
Sch. of Mechatron. Eng., Guilin Univ. of Electron. Technol., Guilin, China
Abstract :
A research on the demodulation performance of second-order cyclic autocorrelation and spectral density function of the frequency modulated (FM) signals with cyclostationarity properties was done. A comprehensive analysis was made to interpret the spectrum domain slice map and the cyclic spectral domain slice map for the three-dimensional cycle spectral diagram of the original signal. Then the modulation frequency was extracted from the FM signal. Simulation and experimental studies show that the proposed method can be effectively applied to detect the early bearing failure.
Keywords :
demodulation; machine bearings; signal processing; statistical analysis; bearing damage detection method; demodulation performance; frequency modulated signals; second order cyclic statistic; spectral density function; Amplitude modulation; Correlation; Density functional theory; Frequency shift keying; Three dimensional displays; Bearing; Cyclic spectral density; Cyclic statistic; Damage detection; Frequency modulated signal;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5931-5
DOI :
10.1109/FSKD.2010.5569733