Dynamic Stationary Subspace Analysis for Monitoring Nonstationary Dynamic Processes-Reference-Cited by-同舟云学术

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Dynamic Stationary Subspace Analysis for Monitoring Nonstationary Dynamic Processes

Published:2020-11-16 Issue:47 Volume:59 Page:20787-20797
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Wu Dehao¹,Sheng Li²,Zhou Donghua¹³^ORCID,Chen Maoyin¹

Affiliation:

1. Department of Automation, Tsinghua University, Beijing 100084, China

2. College of Control Science and Engineering, China University of Petroleum (East China), Qingdao 266580, China

3. College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, China

Funder

Taishan Scholar Project of Shandong Province

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.0c04059

Reference46 articles.

1. Survey on data-driven industrial process monitoring and diagnosis

2. A Review on Basic Data-Driven Approaches for Industrial Process Monitoring

3. Review of Recent Research on Data-Based Process Monitoring

4. Isolating incipient sensor fault based on recursive transformed component statistical analysis

5. Special issue on big data: Data science for process control and operations

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3. Overview and prospect of abnormal monitoring methods for non-stationary processes;SCIENTIA SINICA Informationis;2024-08-01

4. Hierarchical Cluster Balance Representation and Temporal-Spatial Collaborative Modeling for Nonstationary Wind Turbine Monitoring;2024 36th Chinese Control and Decision Conference (CCDC);2024-05-25

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