Statistical process fault isolation using robust nonnegative garrote-Reference-Cited by-同舟云学术

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Statistical process fault isolation using robust nonnegative garrote

Published:2020-02 Issue: Volume:107 Page:24-34
ISSN:1876-1070
Container-title:Journal of the Taiwan Institute of Chemical Engineers
language:en
Short-container-title:Journal of the Taiwan Institute of Chemical Engineers

Author:

Wang Jian-Guo,Cai Xue-Zhi,Yao Yuan,Zhao Chunhui,Yang Bang-Hua,Ma Shi-Wei,Wang Sen

Funder

Ministry of Science and Technology

Zhejiang University

Publisher

Elsevier BV

Subject

General Chemical Engineering,General Chemistry

Reference47 articles.

1. Survey on data-driven industrial process monitoring and diagnosis;Qin;Annu Rev Control,2012

2. Review of recent research on data-based process monitoring;Ge;Ind Eng Chem Res,2013

3. A survey on multistage/multiphase statistical modeling methods for batch processes;Yao;Annu Rev Control,2009

4. Fault diagnosis based on Fisher discriminant analysis and support vector machines;Chiang;Comput Chem Eng,2004

5. Advances and new directions in plant-wide disturbance detection and diagnosis;Thornhill;Control Eng Pract,2007

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5. Development of a Robust Data-Driven Soft Sensor for Multivariate Industrial Processes with Non-Gaussian Noise and Outliers;Mathematics;2022-10-17

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