Design of Multivariate Alarm Trippoints for Industrial Processes Based on Causal Model-Reference-Cited by-同舟云学术

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Design of Multivariate Alarm Trippoints for Industrial Processes Based on Causal Model

Published:2021-06-18 Issue:25 Volume:60 Page:9128-9140
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Gao Huihui¹²³^ORCID,Wei Chen¹²³,Huang Wenjie¹²³,Gao Xuejin¹²³

Affiliation:

1. Faculty of Information Technology, Beijing University of Technology, Beijing 100124, P. R. China

2. Engineering Research Center of Digital Community, Ministry of Education, Beijing 100124, P. R. China

3. Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing 100124, P. R. China

Funder

Natural Science Foundation of Beijing Municipality

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.1c00867

Reference37 articles.

1. An Overview of Industrial Alarm Systems: Main Causes for Alarm Overloading, Research Status, and Open Problems

2. Performance Assessment and Design for Univariate Alarm Systems Based on FAR, MAR, and AAD

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1. A Hierarchical Coarse-to-Fine Fault Diagnosis Method for Industrial Processes Based on Decision Fusion of Class-Specific Stacked Autoencoders;IEEE Transactions on Instrumentation and Measurement;2024

2. A First-Out Alarm Detection Method via Association Rule Mining and Correlation Analysis;Entropy;2023-12-27

3. An association rule mining approach to predict alarm events in industrial alarm floods;Control Engineering Practice;2023-09

4. Parallel-connected timers and deadbands for reducing the number of false and missed alarms;Control Engineering Practice;2023-05

5. Multivariate Alarm Monitoring for Non-Convex Normal Operating Zones Based on Search Cones;IEEE Transactions on Automation Science and Engineering;2022

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