Enhanced moving horizon Bayesian-based fault diagnosis for multisampling rate data in a plantwide process-Reference-Cited by-同舟云学术

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Enhanced moving horizon Bayesian-based fault diagnosis for multisampling rate data in a plantwide process

Published:2020-12 Issue: Volume:166 Page:108200
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Tian Ying,Peng Xin,Yin Zhong

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference54 articles.

1. Fault Detection and Diagnosis in Industrial Systems;Chiang,2001

2. Statistical process monitoring: basics and beyond;Qin;J. Chemom.,2003

3. A review on basic data-driven approaches for industrial process monitoring;Yin;IEEE Trans. Ind. Electron.,2014

4. Data-driven design of monitoring and diagnosis systems for dynamic processes: A review of subspace technique based schemes and some recent results;Ding;J. Process Control,2014

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

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