Application of Minimum Entropy Deconvolution in the Rolling Element Bearing Fault Diagnosis
When rolling element bearing occurred incipient fault,its vibration signal from bearing seat is usually very weak,and the hidden impulse components may be masked by machine noise or background noise,making it difficult to extract the fault features by frequency spectrum or envelope spectrum analysis...
Saved in:
| Main Authors: | Leng Junfa, Yang Xin, Jing Shuangxi |
|---|---|
| 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.1004.2539.2015.08.045 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Fault Detection Enhancement in Rolling Element Bearings Using the Minimum Entropy Deconvolution
by: Tomasz BARSZCZ, et al.
Published: (2013-10-01) -
Application of an Improved Minimum Noise Amplitude Deconvolution for Bearing Fault Diagnosis
by: Ying Ma, et al.
Published: (2024-01-01) -
Adaptive blind deconvolution decomposition and its application in composite fault diagnosis of rolling bearings
by: Wei Dong, et al.
Published: (2025-04-01) -
APPLICATION OF THE DUAL TREE COMPLEX WAVELET TRANSFORM AND MINIMUM ENTROPY DECONVOLUTION IN INCIPIENT FAULT DIAGNOSIS OF THE GEAR BOX
by: WANG ChaoGe, et al.
Published: (2018-01-01) -
Combination of minimum entropy deconvolution method and Van Cittert algorithm for features extraction of bearings
by: Nesrine Gouri, et al.
Published: (2025-04-01)