Global and Local Feature Extraction Using a Convolutional Autoencoder and Neural Networks for Diagnosing Centrifugal Pump Mechanical Faults

Global and Local Feature Extraction Using a Convolutional Autoencoder and Neural Networks for Diagnosing Centrifugal Pump Mechanical Faults

Centrifugal pumps are important types of electro-mechanical machines used for fluid and energy conveyance. Mechanical faults in centrifugal pumps lead to abnormal impacts in the vibration signal of the system. Those impacts induce nonstationarity in vibration signals and hence complex time-frequency...

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Bibliographic Details
Main Authors: Alexander E. Prosvirin, Zahoor Ahmad, Jong-Myon Kim
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Artificial neural network
centrifugal pump
convolutional autoencoder
convolutional neural network
deep learning
fault diagnosis
Online Access:https://ieeexplore.ieee.org/document/9419001/

Internet

https://ieeexplore.ieee.org/document/9419001/

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