Robust Low-Rank Clustering Contrastive Learning Integrating Transformer for Noisy Industrial Soft Sensors
Author:
Affiliation:
1. College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China
2. Department of Automation, Tsinghua University, Beijing, China
Funder
National Natural Science Foundation of China
Sinopec Major Science and Technology Projects
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/10012124/10138013.pdf?arnumber=10138013
Reference31 articles.
1. Novel Stacked Input-Enhanced Supervised Autoencoder Integrated With Gated Recurrent Unit for Soft Sensing
2. Spatio-temporal adaptive soft sensor for nonlinear time-varying and variable drifting processes based on moving window LWPLS and time difference model
3. Air Preheater Rotor Deformation Soft Sensor Based on Wavelet Analysis and SVR
4. A denoising and multiscale residual deep network for soft sensor modeling of industrial processes
5. Novel Deep Learning Based on Data Fusion Integrating Correlation Analysis for Soft Sensor Modeling
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