Deep Ensemble-Based Classifier for Transfer Learning in Rotating Machinery Fault Diagnosis

Deep Ensemble-Based Classifier for Transfer Learning in Rotating Machinery Fault Diagnosis

Nowadays, intelligent models can correctly detect faults by analysing signals from rotating machinery. However, most of the studies are run in controlled environments and the performance in industrial real-world environments is not yet fully validated. Hence, a suitable tool to implement fault diagn...

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Bibliographic Details
Main Authors: Fannia Pacheco, Alin Drimus, Lars Duggen, Mariela Cerrada, Diego Cabrera, Rene-Vinicio Sanchez
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Fault diagnosis
deep learning
rotating machinery
transfer learning
vibration signal
Online Access:https://ieeexplore.ieee.org/document/9730901/

Internet

https://ieeexplore.ieee.org/document/9730901/

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