Improved Mel Frequency Cepstral Coefficients for Compressors and Pumps Fault Diagnosis with Deep Learning Models

Improved Mel Frequency Cepstral Coefficients for Compressors and Pumps Fault Diagnosis with Deep Learning Models

Compressors and pumps are machines frequently used in petroleum and chemical industries for fluid transportation through flow systems to keep industrial processes running permanently. As their failure can produce costly disruption, developing fault detection and diagnosis tools is essential for accu...

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Bibliographic Details
Main Authors: Diego Cabrera, Ruben Medina, Mariela Cerrada, René-Vinicio Sánchez, Edgar Estupiñan, Chuan Li
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Applied Sciences
Subjects:
fault diagnosis
mel frequency cepstral coefficients
convolutional neural networks
long short term memory
reciprocating compressors
multi-stage centrifugal pumps
Online Access:https://www.mdpi.com/2076-3417/14/5/1710

Internet

https://www.mdpi.com/2076-3417/14/5/1710

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