An Information-Theoretic Framework for Fault Detection Evaluation and Design of Optimal Dimensionality Reduction Methods-Reference-Cited by-同舟云学术

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An Information-Theoretic Framework for Fault Detection Evaluation and Design of Optimal Dimensionality Reduction Methods

Published:2018 Issue:24 Volume:51 Page:1311-1316
ISSN:2405-8963
Container-title:IFAC-PapersOnLine
language:en
Short-container-title:IFAC-PapersOnLine

Author:

Jiang Benben,Sun Weike,Braatz Richard D.

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference21 articles.

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

2. Elements of Information Theory (2nd Edition);Cover,2012

3. Data-Driven Design of Fault Diagnosis and Fault-Tolerant Control Systems;Ding,2014

4. Effect of model uncertainty on failure detection: the threshold selector;Emami-Naeini;IEEE Transactions on Automatic Control,1988

5. The free-energy principle: A unified brain theory?;Friston;Nature Reviews Neuroscience,2010

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1. Community detection based process decomposition and distributed monitoring for large‐scale processes;AIChE Journal;2022-07-14

2. Interpretable fault detection using projections of mutual information matrix;Journal of the Franklin Institute;2021-05

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