Fault Diagnosis of Delta 3D Printers Using Transfer Support Vector Machine With Attitude Signals

Fault Diagnosis of Delta 3D Printers Using Transfer Support Vector Machine With Attitude Signals

In traditional machine learning algorithms, more labeled data are required in model training for better classification accuracy. However, collecting labeled data is an expensive task for real applications. In this paper, a transfer support vector machine (TSVM) technique is introduced to tackle this...

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Bibliographic Details
Main Authors: Jianwen Guo, Jiapeng Wu, Zhengzhong Sun, Jianyu Long, Shaohui Zhang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Fault diagnosis
transfer learning
3D printer
attitude signal
machine learning
Online Access:https://ieeexplore.ieee.org/document/8672777/

Internet

https://ieeexplore.ieee.org/document/8672777/

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