Multi-Objective Instance Weighting-Based Deep Transfer Learning Network for Intelligent Fault Diagnosis

Multi-Objective Instance Weighting-Based Deep Transfer Learning Network for Intelligent Fault Diagnosis

Fault diagnosis is a top-priority task for the health management of manufacturing processes. Deep learning-based methods are widely used to secure high fault diagnosis accuracy. Actually, it is difficult and expensive to collect large-scale data in industrial fields. Several prerequisite problems ca...

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Bibliographic Details
Main Authors: Kihoon Lee, Soonyoung Han, Van Huan Pham, Seungyon Cho, Hae-Jin Choi, Jiwoong Lee, Inwoong Noh, Sang Won Lee
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Applied Sciences
Subjects:
deep learning
fault diagnosis
industrial robot
prognostics and health management (PHM)
spot welding
transfer learning
Online Access:https://www.mdpi.com/2076-3417/11/5/2370

Internet

https://www.mdpi.com/2076-3417/11/5/2370

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