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Research on condition monitoring and fault diagnosis of intelligent copper ball production lines based on big data

Authors :
Changzhong Zhao
Zhongke Zhang
Zhao Li
Source :
IET Collaborative Intelligent Manufacturing. 4:45-57
Publication Year :
2021
Publisher :
Institution of Engineering and Technology (IET), 2021.

Subjects

Subjects :
Production line
business.industry
Computer science
Big data
Condition monitoring
chemistry.chemical_element
Fault (power engineering)
Copper
Industrial and Manufacturing Engineering
Automotive engineering
Computer Science Applications
chemistry
Artificial Intelligence
Hardware and Architecture
Ball (bearing)
business

Details

ISSN :
25168398
Volume :
4
Database :
OpenAIRE
Journal :
IET Collaborative Intelligent Manufacturing
Accession number :
edsair.doi...........c8d94160311854f472ee51ae6cc54343

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