Monitoring Pumping Units by Convolutional Neural Networks for Operating Point Estimations
To avoid the failure of pumping units, the monitoring of operating points with a subsequent assessment of the condition of the pump may support the decision for required maintenance. For that purpose, convolutional neural networks (CNNs) are implemented to predict the operating points of pumping uni...
Main Authors: | Hanbing Ma, Lukas Gaisser, Stefan Riedelbauch |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-05-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/16/11/4392 |
Similar Items
-
Systematic Comparison of Sensor Signals for Pump Operating Points Estimation Using Convolutional Neural Network
by: Hanbing Ma, et al.
Published: (2023-10-01) -
A Novel Combination Method of a Convolutional Neural Network and Energy Operators for the Detection of Change-Points in Electromyographic Signals
by: Shenglin Wang, et al.
Published: (2023-01-01) -
Improving Reliability of Pumps in Parallel Pump Systems Using Particle Swam Optimization Approach
by: Zhounian Lai, et al.
Published: (2020-01-01) -
Convolutional Neural Network Identification of Stall Flow Patterns in Pump–Turbine Runners
by: Junjie Wu, et al.
Published: (2022-08-01) -
Hand-Powered Elastomeric Pump for Microfluidic Point-of-Care Diagnostics
by: Gangadhar Eluru, et al.
Published: (2020-01-01)