Operating performance assessment based on multi-source heterogeneous information with deep learning for smelting process of electro-fused magnesium furnace-Reference-Cited by-同舟云学术

Operating performance assessment based on multi-source heterogeneous information with deep learning for smelting process of electro-fused magnesium furnace

Published:2021-10 Issue: Volume: Page:
ISSN:0019-0578
Container-title:ISA Transactions
language:en
Short-container-title:ISA Transactions

Author:

Bu Kaiqing^ORCID,Liu Yan^ORCID,Wang Fuli^ORCID

Funder

National Key Research and Development Program of China Stem Cell and Translational Research

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Science Fund for Creative Research Groups

Liaoning Provincial Natural Science Foundation

Publisher

Elsevier BV

Subject

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

Reference38 articles.

1. Data-driven abnormal condition identification and self-healing control system for fused magnesium furnace;Wu;IEEE Trans Ind Electron,2015

2. Splattering suppression for three-phase AC electric arc furnace in fused magnesia production based on acoustic signal;Fu;IEEE Trans Ind Electron,2017

3. An intelligent fault diagnosis architecture for electrical fused magnesia furnace using sound spectrum submanifold analysis;Du;IEEE Trans Instrum Meas,2018

4. Nonlinear control tools for fused magnesium furnaces: design and implementation;Wu;IEEE Trans Ind Electron,2017

5. Abnormal condition identification and safe control scheme for the electro-fused magnesia smelting process;Li;ISA Trans,2018

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