Pump Fault Classification based on Autoencoding Convolutional Neural Network Residuum
Author:
Affiliation:
1. Dunărea de Jos University of Galati,Department of Automation and Electrical Engineering,Galati,Romania
2. Dunărea de Jos University of Galati,Department of Electronics and Telecommunications,Galati,Romania
3. Redans SRL,Galati,Romania
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10275065/10275329/10275399.pdf?arnumber=10275399
Reference21 articles.
1. Centrifugal pump fault diagnosis method based on EAS and stacked capsule autoencoder;chang;Third international conference on electronics and communication network and computer technology (ECNCT 2021),2021
2. Fault Diagnosis of a Centrifugal Pump Using Electrical Signature Analysis and Support Vector Machine;araste;Journal Of Vibration Engineering & Technologies,2022
3. Use of the K-Nearest Neighbour Classifier in Wear Condition Classification of a Positive Displacement Pump
4. Faults detection and classification in a centrifugal pump from vibration data using markov parameters
5. A review on classification techniques in machine learning;reddy;International Journal of Advanced Research in Science and Engineering,2018
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