Paper-Conference

Stable Soft Sensor Modeling for Industrial Systems
Learning trustworthy models is essential for machine learning tasks, as many researchers have revealed the vulnerability of machine …
PDF Cite
Interpretable Data-Driven Capacity Estimation of Lithium-ion Batteries
Battery degradation poses a significant challenge for the usage of Lithium-ion batteries, making accurate capacity estimation crucial …
PDF Cite
Interpretable Industrial Soft Sensor Design Based on Informer and Shap
Deep learning models have been widely employed in various domains, yet they have certain limitations when it comes to industrial …
PDF Cite
Approximation of Nonlinear Model Predictive Control Using Mixture Density Networks
Model Predictive Control (MPC) is an advanced control method broadly applied to chemical processes. However, the prohibitive online …
PDF Cite
Global Optimal Explainable Models for Biorefining
Hemicelluloses are amorphous polymers of various sugar molecules and have been widely utilized in bioenergy, mining, and textile. …
PDF Cite
Interpretable Soft Sensors using Extremely Randomized Trees and Shap
Tree-based ensemble models are easy to implement and have been widely used in various fields. However, they have limitations in …
PDF Cite
Neural network and sparse identification of nonlinear dynamics integrated algorithm for digital twin identification
Digital twins play a critical role in simulating industrial manufacturing systems to increase productivity and reduce time spent on …
Cite
Online capacity estimation of lithium-ion batteries by partial incremental capacity curve
Accurate capacity estimation is critical to ensure the safe and reliable usage of lithium-ion batteries, and data-driven methods are a …
PDF Cite
Soft Sensor Change Point Detection and Root Causal Analysis
Soft sensor has been playing an indispensable role in the process monitoring of key process variables. How to know if deployed soft …
PDF Cite
Time-Variant Digital Twin Modeling through the Kalman-Generalized Sparse Identification of Nonlinear Dynamics
A digital twin is a computer-based digital representation that simulates the behavior of a physical system. Digital twins help users to …
PDF Cite