Criteria for optimizing kernel methods in fault monitoring process: A survey-Reference-Cited by-同舟云学术

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Criteria for optimizing kernel methods in fault monitoring process: A survey

Published:2021-09 Issue: Volume: Page:
ISSN:0019-0578
Container-title:ISA Transactions
language:en
Short-container-title:ISA Transactions

Author:

Bernal-de-Lázaro José M.^ORCID,Cruz-Corona Carlos,Silva-Neto Antônio J.,Llanes-Santiago Orestes

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Elsevier BV

Subject

Applied Mathematics,Control and Systems Engineering,Electrical and Electronic Engineering,Computer Science Applications,Instrumentation

Reference131 articles.

1. Kernel association for classification and prediction: A survey;Motai;IEEE Trans Neural Netw Learn Syst,2014

2. Data mining and analytics in the process industry: The role of machine learning;Ge;IEEE Access,2017

3. Rebooting data-driven soft-sensors in process industries: A review of kernel methods;Liu;J Process Control,2020

4. Recent advances on SVM based fault diagnosis and process monitoring in complicated industrial processes;Yin;Neurocomputing,2016

5. Support vector machine in statistical process monitoring: A methodological and analytical review;Cuentas;Int J Adv Manuf Technol,2017

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