Knowledge-Based Fault Diagnosis in Industrial Internet of Things: A Survey-Reference-Cited by-同舟云学术

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Knowledge-Based Fault Diagnosis in Industrial Internet of Things: A Survey

Published:2022-08-01 Issue:15 Volume:9 Page:12886-12900
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Chi Yuanfang¹^ORCID,Dong Yanjie²^ORCID,Wang Z. Jane²^ORCID,Yu F. Richard³^ORCID,Leung Victor C. M.¹^ORCID

Affiliation:

1. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China

2. Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, Canada

3. Department of Systems and Computer Engineering, Carleton University, Ottawa, Canada

Funder

Guangdong “Pearl River Talent Recruitment Program”

Guangdong “Pearl River Talent Plan”

the Shenzhen “Science and Technology Innovation Commission”

National Nature Science Foundation of China

Natural Sciences and Engineering Research Council of Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/9839365/09745085.pdf?arnumber=9745085

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