3 papers
cond-mat.soft2025
Machine Learning-based Optimal Control for Colloidal Self-Assembly
Andres Lizano-Villalobos, Fangyuan Ma, Wentao Tang +2
Achieving precise control of colloidal self-assembly into specific patterns remains a longstanding challenge due to the complex process dynamics. Recently, machine learning-based s…
eess.SP2025
Online Fault Detection and Classification of Chemical Process Systems Leveraging Statistical Process Control and Riemannian Geometric Analysis
Alireza Miraliakbar, Fangyuan Ma, Zheyu Jiang
In this work, we study an integrated fault detection and classification framework called FARM for fast, accurate, and robust online chemical process monitoring. The FARM framework…
cs.LG2024
MOLA: Enhancing Industrial Process Monitoring Using Multi-Block Orthogonal Long Short-Term Memory Autoencoder
Fangyuan Ma, Cheng Ji, Jingde Wang +3
In this work, we introduce MOLA: a Multi-block Orthogonal Long short-term memory Autoencoder paradigm, to conduct accurate, reliable fault detection of industrial processes. To ach…