DocumentCode
3092515
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
fYear
2010
fDate
17-19 Sept. 2010
Firstpage
545
Lastpage
548
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/PCSPA.2010.137
Filename
5636091
Link To Document