LDA-based deep transfer learning for fault diagnosis in industrial chemical processes-Reference-Cited by-同舟云学术

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LDA-based deep transfer learning for fault diagnosis in industrial chemical processes

Published:2020-09 Issue: Volume:140 Page:106964
ISSN:0098-1354
Container-title:Computers & Chemical Engineering
language:en
Short-container-title:Computers & Chemical Engineering

Author:

Wang Yalin,Wu Dongzhe,Yuan Xiaofeng

Funder

National Natural Science Foundation of China

National Key R&D Program of China

Natural Science Foundation of Hunan Province of China

Central South University

Publisher

Elsevier BV

Subject

Computer Science Applications,General Chemical Engineering

Reference56 articles.

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3. ELM-based real-time prediction for hydrogenolysis degree of hydrofining reaction in hydrocracking process;Chen,2017

4. Temperature prediction model for roller kiln by ald-based double locally weighted kernel principal component regression;Chen;IEEE Trans. Instrum. Meas.,2018

5. Fault detection for non-gaussian processes using generalized canonical correlation analysis and randomized algorithms;Chen;IEEE Trans. Ind. Electron.,2018

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