7 citations · 7 across the 2 of their papers we have counts for
3 papers
Topological Data Analysis for High-Dimensional Dynamic Process Monitoring
Angan Mukherjee, Tyler A. Soderstrom, Michael J. Kurtz +1
Real-time process monitoring requires methods that extract actionable information from high-dimensional time-series data. In this work, we present a new approach for process monito…
A Digital Twin Simulator of a Pastillation Process with Applications to Automatic Control based on Computer Vision
Leonardo D. González, Joshua L. Pulsipher, Shengli Jiang +2
We present a digital-twin simulator for a pastillation process. The simulation framework produces realistic thermal image data of the process that is used to train computer vision-…
SAFE-OCC: A Novelty Detection Framework for Convolutional Neural Network Sensors and its Application in Process Control
Joshua L. Pulsipher, Luke D. J. Coutinho, Tyler A. Soderstrom +1
We present a novelty detection framework for Convolutional Neural Network (CNN) sensors that we call Sensor-Activated Feature Extraction One-Class Classification (SAFE-OCC). We sho…