Research of the Fault Feature Extraction of Rolling Bearing based on Image Processing
The feature extraction is crucial for fault diagnosis,although the existing feature extraction methods in time domain,frequency domain and time-frequency domain are effective,it is also necessary to find new methods in other domain.On the basis of the characteristic of snow images generated by analy...
Main Authors: | Zhang Qiantu, Fang Liqing |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Office of Journal of Mechanical Transmission
2015-01-01
|
Series: | Jixie chuandong |
Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2015.05.013 |
Similar Items
-
ROLLING BEARING FAULT FEATURE EXTRACTION RESEARCH BASED ON IMPROVED CEEMDAN AND RECONSTRUCTION
by: LIANG Kai, et al.
Published: (2019-01-01) -
Mechanical Fault Diagnosis based on LCD Information Entropy Feature and SVM
by: Zhang Qiantu, et al.
Published: (2015-01-01) -
Extraction of the Early Fault Feature of Rolling Bearing based on MED-RSSD
by: Yang Bin, et al.
Published: (2018-01-01) -
FAULT FEATURE EXTRACTION OF ROLLING ELEMENT BEARINGS BASED ON ADAPTIVE MCKD
by: CHEN BingYan, et al.
Published: (2020-01-01) -
Research on the Fault Feature Extraction of Rolling Bearings Based on SGMD-CS and the AdaBoost Framework
by: Hui Li, et al.
Published: (2021-03-01)