Valve Stiction Detection, Large Vision Language Model, Industrial Fault Diagnosis, process control
Graph Neural Networks, Soft Sensor, Graph Structure Learning, Dynamic Mode Decomposition, Injectivity, Causality
Estimation, filtering, system identification, Metropolis-Hastings-within-Gibbs sampling.
big data-driven predictive control, behavioural systems theory, data trajectory clustering, kernel density estimation, behaviour interpolation, information entropy
Image Processing, Primary Separation Vessels, Moving Horizon Estimation, Interface Level Estimation, Robust and Constrained Estimation, Convolutional Neural Networks
Bayesian optimization, Transfer learning, Gaussian process, Port-Hamiltonian systems, Physics-enhanced machine learning
Freeze point, Soft sensor, Multi-rate measurements, Expectation-Maximization, Particle filtering
Image Inpainting, Latent Variable Modeling, Variational Inference, Sparsity, Primary Separation Vessel
Distributed Parameter Systems, Hyperbolic Partial Differential Equations, Moving Horizon Estimation, Pipeline Leak Detection and Localization, Constrained Estimation
oscillation detection, large language models, retrieval-augmented generation, control system monitoring, Industrial automation
Digital Twin, Model Predictive Control, oil sands, Bitumen Extraction, Primary Separation Vessel, Flotation Cells
Process monitoring and control, discrete-time systems, uncertain systems, Transfer learning, robust estimation and control, linear matrix inequalities
Constrained State Estimation, Extended Kalman Filter, Particle Filter, Dynamic Data Reconciliation
