Fault Diagnosis of Intelligent Production Line Based on Digital Twin and Improved Random Forest

Fault Diagnosis of Intelligent Production Line Based on Digital Twin and Improved Random Forest

Digital twin (DT) is a key technology for realizing the interconnection and intelligent operation of the physical world and the world of information and provides a new paradigm for fault diagnosis. Traditional machine learning algorithms require a balanced dataset. Training and testing sets must hav...

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Bibliographic Details
Main Authors: Kai Guo, Xiang Wan, Lilan Liu, Zenggui Gao, Muchen Yang
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Applied Sciences
Subjects:
fault diagnosis
digital twin
random forest
hierarchical clustering
transfer learning
Online Access:https://www.mdpi.com/2076-3417/11/16/7733

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