Combined Failure Diagnosis of Slewing Bearings Based on MCKD-CEEMD-ApEn
Large-size and heavy-load slewing bearings, which are mainly used in heavy equipment, comprise a subgroup of rolling bearings. Owing to the complexity of the structures and working conditions, it is quite challenging to effectively diagnose the combined failure and extract fault features of slewing...
Saved in:
Main Authors: | Fengtao Wang, Chenxi Liu, Wensheng Su, Zhigang Xue, Qingkai Han, Hongkun Li |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2018-01-01
|
Series: | Shock and Vibration |
Online Access: | http://dx.doi.org/10.1155/2018/6321785 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An Enhancement Deep Feature Extraction Method for Bearing Fault Diagnosis Based on Kernel Function and Autoencoder
by: Fengtao Wang, et al.
Published: (2018-01-01) -
Remaining Useful Life Prediction Method of Rolling Bearings Based on Pchip-EEMD-GM(1, 1) Model
by: Fengtao Wang, et al.
Published: (2018-01-01) -
Remaining Useful Life Estimation of Fan Slewing Bearings in Nonlinear Wiener Process with Random Covariate Effect
by: Mingjun Liu, et al.
Published: (2022-01-01) -
Spherical Pendulum Small Oscillations for Slewing Crane Motion
by: Alexander V. Perig, et al.
Published: (2014-01-01) -
Modification of changes in the stress-strain state of crane slewing gear elements while operational conditions
by: L. A. Sladkova, et al.
Published: (2024-11-01)