Title :
Study on Semi-blind Signal Processing Method for Rolling Bearing Faulty Vibration Signal
Author :
Hao, Tian ; Jun-Qi, Qin ; Li-Wei, Tang ; Hai-Qi, Zheng
Author_Institution :
Dept. of Guns Eng., Ordnance Eng. Coll., Shijiazhuang, China
Abstract :
Because of the cyclostationary nature of the vibration signal of rotating machine, the blind equalization technique based on output second order statistic (SOS) is introduced to recover “real” vibration signal from multi-sensor signals, which is essentially data level information fusion for homogeneous sensors signal. Based on the prior knowledge of the order spectral structure of the rolling element bearing faulty vibration signal, two performance indexes are proposed to optimize the blind equalization filter parameters. Finally, a semi-blind signal processing method for rolling bearing fault diagnosis is given. The performance of the method is verified with a single reduction gearbox test rig experiment data.
Keywords :
blind source separation; rolling bearings; statistical analysis; vibrations; SOS; blind equalization filter parameters; blind equalization technique; data level information fusion; rolling bearing faulty vibration signal; rotating machine; second order statistic; semi blind signal processing method; Blind equalizers; Delay; Fault diagnosis; Indexes; Vibrations; data level information fusion; fault diagnosis; multi-sensor; rolling bearing; semi-blind signal processing;
Conference_Titel :
Pervasive Computing Signal Processing and Applications (PCSPA), 2010 First International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-8043-2
Electronic_ISBN :
978-0-7695-4180-8
DOI :
10.1109/PCSPA.2010.183