A fault detection method based on horizontal visibility graph‐integrated complex networks: Application to complex chemical processes-Reference-Cited by-同舟云学术

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A fault detection method based on horizontal visibility graph‐integrated complex networks: Application to complex chemical processes

Published:2018-10-05 Issue:5 Volume:97 Page:1129-1138
ISSN:0008-4034
Container-title:The Canadian Journal of Chemical Engineering
language:en
Short-container-title:Can. J. Chem. Eng.

Author:

Geng Zhiqiang¹²,Wang Zun¹²,Hu Haixia¹²,Han Yongming¹²,Lin Xiaoyong¹²,Zhong Yanhua³

Affiliation:

1. College of Information Science & TechnologyBeijing University of Chemical TechnologyBeijing 100029China

2. Engineering Research Center of Intelligent PSEMinistry of Education in ChinaBeijing 100029China

3. Jiangmen PolytechnicJiangmenGuangdong 529020China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Chemical Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cjce.23319

Reference48 articles.

1. Data-based process monitoring, process control, and quality improvement: Recent developments and applications in steel industry

2. A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process

3. Data-driven root cause diagnosis of faults in process industries

4. A new fault classification approach applied to Tennessee Eastman benchmark process

5. Fault detection and diagnosis for missing data systems with a three time-slice dynamic Bayesian network approach

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