Study on a Novel Fault Diagnosis Method Based on VMD and BLM
The bearing system of an alternating current (AC) motor is a nonlinear dynamics system. The working state of rolling bearings directly determines whether the machine is in reliable operation. Therefore, it is very meaningful to study the fault diagnosis and prediction of rolling bearings. In this pa...
Main Authors: | Jianjie Zheng, Yu Yuan, Li Zou, Wu Deng, Chen Guo, Huimin Zhao |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-06-01
|
Series: | Symmetry |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-8994/11/6/747 |
Similar Items
-
An Improved VMD With Empirical Mode Decomposition and Its Application in Incipient Fault Detection of Rolling Bearing
by: Fan Jiang, et al.
Published: (2018-01-01) -
Fault Diagnosis for a Bearing Rolling Element Using Improved VMD and HT
by: Haodong Liu, et al.
Published: (2019-04-01) -
Fault diagnosis of rolling bearing based on kurtosis criterion VMD and modulo square threshold
by: Xueying Zhang, et al.
Published: (2019-12-01) -
Incipient fault diagnosis of rolling bearing using accumulative component kurtosis in SVD process
by: Yahui Cui, et al.
Published: (2018-05-01) -
Bearing fault diagnosis based on improved VMD and DCNN
by: Ran Wang, et al.
Published: (2020-08-01)