Identification of Vibration Signal for Residual Pressure Utilization Hydraulic Unit Using MRFO-BP Neural Network
Combined with wavelet threshold denoising and Ensemble Empirical Mode Decomposition (EEMD) decomposition, an identification method based on Manta Ray Foraging Optimization-BP (MRFO-BP) neural network for vibration signals of residual pressure utilization hydraulic units is proposed to distinguish th...
Saved in:
Main Authors: | Qingjiao Cao, Liying Wang, Jiajie Zhang, Tengfei Guo, Xiyuan Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
|
Series: | Shock and Vibration |
Online Access: | http://dx.doi.org/10.1155/2022/8506273 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Investigation of acquisition of the UWB signals based on BP neural network
by: YANG Zhi-hua1, et al.
Published: (2005-01-01) -
Study of operation of spool hydraulic control unit that transmits reduced pressure signal to control hydraulic distributors, control cylinders, parameters of axial piston pumps and hydraulic motors
by: E. R. Butakova, et al.
Published: (2022-03-01) -
Prediction of Dynamic Compressive Strength of Hydraulic Asphalt Concrete Based on BP Neural Network and Response Surface Fitting
by: XIN Zhenke
Published: (2022-01-01) -
Evaluation of Water Resources Development and Utilization in Liaoning Province Based on BP Neural Network
by: LIU Yang
Published: (2021-01-01) -
Manta Ray Foraging Optimization (MRFO)-Based Energy-Efficient Cluster Head Selection Algorithm for Wireless Sensor Networks
by: Mahmoud A. Khodeir, et al.
Published: (2022-01-01)