A Real-Time Fault Diagnosis Method for Multi-Source Heterogeneous Information Fusion Based on Two-Level Transfer Learning

A Real-Time Fault Diagnosis Method for Multi-Source Heterogeneous Information Fusion Based on Two-Level Transfer Learning

A convolutional neural network can extract features from high-dimensional data, but the convolution operation has a high time complexity and requires a large amount of computation. For equipment with a high sampling frequency, fault diagnosis methods based on convolutional neural networks cannot mee...

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Bibliographic Details
Main Authors: Danmin Chen, Zhiqiang Zhang, Funa Zhou, Chaoge Wang
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Entropy
Subjects:
real-time fault diagnosis
transfer learning
information fusion
Online Access:https://www.mdpi.com/1099-4300/26/12/1007
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https://www.mdpi.com/1099-4300/26/12/1007

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