Operating performance assessment method for industrial process with slowness principle-based LSTM network
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering
Reference27 articles.
1. Reconstruction-based contribution for process monitoring;Alcala;Automatica,2009
2. Bu, K.Q., Wang, F.L., Liu, Y., 2020. Operating Performance Assessment Based on Stacked Sparse Denoising Auto-encoder for Gold Hydrometallurgy Processes. In: Proceedings of the 32nd 2020 Chinese Control and Decision Conference. CCDC 2020, pp. 2904–2909.
3. Canonical correlation analysis-based fault detection methods with application to alumina evaporation process;Chen;Control Eng. Pract.,2016
4. Exponential stationary subspace analysis for stationary feature analytics and adaptive nonstationary process monitoring;Chen;IEEE Trans. Ind. Inform.,2021
5. Siamese neural network-based supervised slow feature extraction for soft sensor application;Chiplunkar;IEEE Trans. Ind. Electron.,2021
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