Intelligent Fault Diagnostic Model for Industrial Equipment Based on Multimodal Knowledge Graph
Author:
Affiliation:
1. School of Computer Science, Hunan University of Technology, Zhuzhou, China
2. School of Railway Transportation, Hunan University of Technology, Zhuzhou, China
Funder
National Key Research and Development Program of China
Natural Science Foundation of Hunan Province
Scientific Research Fund of Hunan Provincial Education Department
Hunan Provincial Innovation Foundation for Postgraduates
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10302460/10261436.pdf?arnumber=10261436
Reference19 articles.
1. Multimodal Knowledge Graph for Deep Learning Papers and Code
2. Visual fault detection in photovoltaic modules using decision tree algorithms with deep learning features
3. Automatic detection of visual faults on photovoltaic modules using deep ensemble learning network
4. A novel application of deep transfer learning with audio pre-trained models in pump audio fault detection
5. Fault Detection and Diagnosis of Railway Point Machines by Sound Analysis
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