Multi-class fault diagnosis of BF based on global optimization LS-SVM

Multi-class fault diagnosis of BF based on global optimization LS-SVM

Aiming at the requirement of high speed and precision in blast furnace fault diagnosis systems, a new strategy based on global optimization least-squares support vector machines (LS-SVM) was proposed to solve this problem. Firstly, the variable metric discrete particle swarm optimization algorithm w...

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Bibliographic Details
Main Authors: ZHANG Hai-gang, ZHANG Sen, YIN Yi-xin
Format: Article
Language:zho
Published: Science Press 2017-01-01
Series:工程科学学报
Subjects:
blast furnaces
fault diagnosis
least-squares analysis
support vector machines
global optimization
Online Access:http://cje.ustb.edu.cn/article/doi/10.13374/j.issn2095-9389.2017.01.005
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http://cje.ustb.edu.cn/article/doi/10.13374/j.issn2095-9389.2017.01.005

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