Transfer Learning-Based Fault Diagnosis under Data Deficiency

Transfer Learning-Based Fault Diagnosis under Data Deficiency

In the fault diagnosis study, data deficiency, meaning that the fault data for the training are scarce, is often encountered, and it may deteriorate the performance of the fault diagnosis greatly. To solve this issue, the transfer learning (TL) approach is employed to exploit the neural network (NN)...

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Bibliographic Details
Main Authors: Seong Hee Cho, Seokgoo Kim, Joo-Ho Choi
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Applied Sciences
Subjects:
transfer learning
fault diagnosis
data deficiency
imbalanced data
linear motion guide
Online Access:https://www.mdpi.com/2076-3417/10/21/7768

Internet

https://www.mdpi.com/2076-3417/10/21/7768

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