Improved fault detection and diagnosis using graph auto encoder and attention-based graph convolution networks

This publication has 41 references indexed in Scilit:

• Machine learning-based predictive control using on-line model linearization: Application to an experimental electrochemical reactor
  Chemical Engineering Research and Design, 2023
• Exploring the potential of time-series transformers for process modeling and control in chemical systems: An inevitable paradigm shift?
  Chemical Engineering Research and Design, 2023
• On generalization error of neural network models and its application to predictive control of nonlinear processes
  Chemical Engineering Research and Design, 2022
• A tutorial review of neural network modeling approaches for model predictive control
  Computers & Chemical Engineering, 2022
• Physics-informed machine learning modeling for predictive control using noisy data
  Chemical Engineering Research and Design, 2022
• Risk-based fault prediction of chemical processes using operable adaptive sparse identification of systems (OASIS)
  Computers & Chemical Engineering, 2021
• Issues and Advances in Anomaly Detection Evaluation for Joint Human-Automated Systems
  2017
• The Mahalanobis distance and its relationship to principal component scores
  Journal of Chemometrics, 2015
• Base control for the Tennessee Eastman problem
  Computers & Chemical Engineering, 1994
• A plant-wide industrial process control problem
  Computers & Chemical Engineering, 1993