Fault Diagnosis of Motor based on Knowledge Graph and CNN-Reference-Cited by-同舟云学术

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Fault Diagnosis of Motor based on Knowledge Graph and CNN

Published:2022-07-15 Issue: Volume: Page:
ISSN:
Container-title:2022 3rd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE)
language:
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Author:

Geng Daoqu¹,Zhou Lei¹,Zhao Yangchun¹,Li Haiyang¹

Affiliation:

1. Chongqing University of Posts and Telecommunications,Chongqing,China

Funder

Natural Science Foundation of Chongqing

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9985779/9985780/09985802.pdf?arnumber=9985802

Reference10 articles.

1. DIAGNOSING ERYTHEMATO-SQUAMOUS DISEASE BASED ON HYBRID PARTICLE SWARM OPTIMISATION SVM;sun;Computer Applications and Software,2015

2. BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation

3. Research and application of remote operation and maintenance technology of relay protection;qiu;Power system protection and control,2018

4. Specifying architecture of knowledge graph with data graph, information graph, knowledge graph and wisdom graph

5. Research on a configurable method for fault diagnosis knowledge of machine tools and its application

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