Analysis on Intelligent Fault Diagnosis Technology of Industrial Control Network


연구 분야: Infrastructure



학회: 2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)


초록

Industrial control network is an important part of industrial control system, and its failure has a great impact on normal production. The rapid detection, diagnosis and location of industrial control network fault can improve the robustness and reliability of industrial control network, thus improving the availability of industrial control system. This paper summarizes the difficulties and diagnosis process of industrial control network fault diagnosis. At the same time, it dialectically analyzes the advantages and disadvantages of the existing mainstream diagnosis technology, and puts forward the optimization ideas of industrial control network fault diagnosis technology through comparative analysis.


Author Profile
Deng Zhang

Network and Industrial Control Information Security Department China Nuclear Power Operation Technology Corporation Wuhan China

Andorra
Author Profile
Junkai Wang

Network and Industrial Control Information Security Department China Nuclear Power Operation Technology Corporation Wuhan China

Andorra

📄 논문 정보

발행 연도 2021년
인용수 2
출판 국가 Andorra
사이트 IEEE
좋아요 수 0

연관 논문 목록 (207건)