Modeling and Monitoring for Transitions Based on Local Kernel Density Estimation and Process Pattern Construction

Author:

Quiñones-Grueiro Marcos1,Prieto-Moreno Alberto1,Llanes-Santiago Orestes1

Affiliation:

1. Automation and Computing Department, CUJAE, Havana, Cuba CP 19390

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Dynamic Model-Level Method for Multimode Process Monitoring Using ω-Metric;IEEE Transactions on Control Systems Technology;2023-11

2. Data-driven anomaly monitoring methods for multimode processes: overview and perspectives;SCIENTIA SINICA Informationis;2023-11-01

3. Mode identification method based on model generalization and probability density difference for process data;2023 35th Chinese Control and Decision Conference (CCDC);2023-05-20

4. Toward Multimode Process Monitoring: A Scheme Based on Kernel Entropy Component Analysis;IEEE Transactions on Instrumentation and Measurement;2023

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