Fault detection in Tennessee Eastman process with temporal deep learning models
Author:
Funder
Russian Science Foundation
Publisher
Elsevier BV
Subject
Information Systems and Management,Industrial and Manufacturing Engineering
Reference80 articles.
1. Performance assessment of a novel fault diagnosis system based on support vector machines;Yélamos;Comput. Chem. Eng.,2009
2. Cold start approach for data-driven fault detection;Grbovic;IEEE Trans. Ind. Inf.,2013
3. Fault diagnosis based on chemical sensor data with an active deep neural network;Jiang;Sensors,2016
4. RNN-based early cyber-attack detection for the Tennessee Eastman process;Filonov,2017
5. Fault detection and classification using artificial neural networks;Heo;IFAC-PapersOnLine,2018
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