Fault monitoring based on mutual information feature engineering modeling in chemical process-Reference-Cited by-同舟云学术

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Fault monitoring based on mutual information feature engineering modeling in chemical process

Published:2019-10 Issue:10 Volume:27 Page:2491-2497
ISSN:1004-9541
Container-title:Chinese Journal of Chemical Engineering
language:en
Short-container-title:Chinese Journal of Chemical Engineering

Author:

Tian Wende,Ren Yujia,Dong Yuxi,Wang Shaoguang,Bu Lingzhen

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Chemical Engineering,General Chemistry,Biochemistry,Environmental Engineering

Reference35 articles.

1. Feature engineering of machine-learning chemisorption models for catalyst design;Li;Catal. Today,2017

2. Machine learning for crystal identification and discovery;Spellings;AIChE J.,2018

3. Feature selection in machine learning: A new perspective;J Cai;Neurocomputing,2018

4. Research and application of FLANN neural network based on analytic hierarchy process;Geng;CIESC J.,2016

5. A novel dynamic Bayesian network-based networked process monitoring approach for fault detection, propagation identification, and root cause diagnosis;Yu;AIChE J.,2013

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