Fault Diagnosis of Blast Furnace Iron-Making Process With a Novel Deep Stationary Kernel Learning Support Vector Machine Approach
Author:
Affiliation:
1. State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China
2. School of Information Science and Engineering, Zhejiang Sci-Tech University, Hangzhou, China
Funder
Key Program of the National Natural Science Foundation of China
Social Development Project of Zhejiang Provincial Public Technology Research
Fundamental Research Funds of Zhejiang Sci-Tech University
Open Research Project of the State Key Laboratory of Industrial Control Technology, Zhejiang University, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/9717300/09863658.pdf?arnumber=9863658
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