Title :
Application of Mathematics Morphological De-nosing in Fault State Identifying of Bearing
Author :
Guan Zhen-zhen ; Huo Qian
Author_Institution :
Ordnance Eng. Coll., Shijiazhuang, China
Abstract :
In order to resolve the problem of extraction of impulsive feature from the strong noise background, a differential filter de-noising method base on mathematics morphology is put forward. Numerical simulation shows that the proposed method can suppress noise and extract the impulse component in signals effectively, this method is applied on the experiment of bearing with inner circle fault and out circle fault, the results show that the fault impulse signal is also found, which makes a contribute to the fault diagnosis of bearing.
Keywords :
fault diagnosis; mathematical morphology; rolling bearings; bearing; fault diagnosis; fault impulse signal; mathematics morphological de-nosing; Fault diagnosis; Feature extraction; Frequency domain analysis; Mathematics; Noise; Noise reduction; Time domain analysis; Differential Filter; Fault Diagnosis; Mathematic Morphological;
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.2010.137