693 results on '"Chen, Junghui"'
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2. Surrogate Empowered Sim2Real Transfer of Deep Reinforcement Learning for ORC Superheat Control
3. Recursive identification of kernel-based hammerstein model for online energy efficiency estimation of large-scale chemical plants
4. Enhancing predictive monitoring of ethylene oxychlorination reactor states through spatiotemporal coupling analysis
5. Online nonlinear data reconciliation to enhance nonlinear dynamic process monitoring using conditional dynamic variational autoencoder networks with particle filters
6. A novel semi-supervised robust learning framework for dynamic generative latent variable models and its application to industrial virtual metrology
7. Meta-learning-based continuous state-space models for rapid monitoring using heterogeneous grade sources with uneven sampling
8. Adaptive two-dimensional subspace identification for monitoring batch processes with limited batch data
9. Efficient predictive control method for ORC waste heat recovery system based on recurrent neural network
10. A mixture of shallow neural networks for virtual sensing: Could perform better than deep neural networks
11. Fast robust optimization of ORC based on an artificial neural network for waste heat recovery
12. Automatic segmentation of dynamic and static models based on high order slow feature analysis and principal component analysis for multiphase batch monitoring
13. A robust semi-supervised learning scheme for development of within-batch quality prediction soft-sensors
14. Developing a dynamic quality prediction model for limited samples target grade based on transfer learning
15. Few-shot learning on batch process modeling with imbalanced data
16. Fast two-layer nonlinear economic predictive control using machine learning for ORC systems with non-Gaussian disturbances
17. Surrogate empowered Sim2Real transfer of deep reinforcement learning for ORC superheat control
18. A concise subspace projection based meta-learning method for fast modeling and monitoring in multi-grade semiconductor process
19. Semi-supervised local manifold regularization model based on dual representation for industrial soft sensor development
20. A novel strategy of correntropy-based iterative neural networks for data reconciliation and gross error estimation in semiconductor industry
21. Fault detection for NOx emission process in thermal power plants using SIP-PCA
22. A Cyber-Physical monitoring and diagnosis scheme of energy consumption in Plant-Wide chemical processes
23. Using dynamic data reconciliation to improve the performance of PID feedback control systems with Gaussian/non-Gaussian distributed disturbance and measurement noise
24. Automatic segmentation of batch processes into multi-local state-space models for fault detection
25. A supervised functional Bayesian inference model with transfer-learning for performance enhancement of monitoring target batches with limited data
26. Developing semi-supervised latent dynamic variational autoencoders to enhance prediction performance of product quality
27. Accelerating reinforcement learning with case-based model-assisted experience augmentation for process control
28. Tensor Slow Feature Analysis and Its Applications for Batch Process Monitoring
29. Using source data to aid and build variational state–space autoencoders with sparse target data for process monitoring
30. Comparative study on wavelet functional partial least squares soft sensor for complex batch processes
31. Performance assessment for non-Gaussian systems by minimum entropy control and dynamic data reconciliation
32. A Novel PID Control for MIMO Systems in the DPLS Framework with Gaussian Process Model
33. Supervised functional modeling method for long durations of batch processes with limited batch data
34. Augmenting deviation of faults from the normal using fault assistant Gaussian mixture prior variational autoencoder
35. A variable relevant multi-local PCA modeling scheme to monitor a nonlinear chemical process
36. Dual-layer feature extraction based soft sensor methods and applications to industrial polyethylene processes
37. Developing semi-supervised variational autoencoder-generative adversarial network models to enhance quality prediction performance
38. Self-tuning variational mode decomposition
39. Evaluating and predicting energy efficiency using slow feature partial least squares method for large-scale chemical plants
40. Global-local based wavelet functional principal component analysis for fault detection and diagnosis in batch processes
41. Supervised and semi-supervised probabilistic learning with deep neural networks for concurrent process-quality monitoring
42. Statistical information based two-layer model predictive control with dynamic economy and control performance for non-Gaussian stochastic process
43. Enhancing monitoring performance of data sparse nonlinear processes through information sharing among different grades using Gaussian mixture prior variational autoencoders
44. Developing Soft-Sensor Models Using Latent Dynamic Variational Autoencoders
45. Data-driven modeling of product crystal size distribution and optimal input design for batch cooling crystallization processes
46. Wavelet based calibration model building of NIR spectroscopy for in-situ measurement of granule moisture content during fluidized bed drying
47. Optimal design of organic Rankine cycles for exhaust heat recovery from light-duty vehicles in view of various exhaust gas conditions and negative aspects of mobile vehicles
48. Particle filter combined with data reconciliation for nonlinear state estimation with unknown initial conditions in nonlinear dynamic process systems
49. Artificial evolution based cost-reference particle filter for nonlinear state and parameter estimation in process systems with unknown noise statistics and model parameters
50. Detection and diagnosis of oscillations in process control by fast adaptive chirp mode decomposition
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