IEEE

Forward Selection Component Variable and Dynamic Inner Manifold Learning for Process Monitoring

Abstract: A novel dynamic inner manifold learning algorithm based on forward selection component variables (FSV-DiML) is proposed for industrial process monitoring. The method begins with forward ...
C&EN

In Situ Performance Monitoring of Electrochemical Oxygen and Hydrogen Peroxide Sensors in an Additively Manufactured Modular Microreactor

Laboratory for Sensors, IMTEK − Department of Microsystems Engineering, University of Freiburg, 79110 Freiburg, Germany Laboratory for Electrical Instrumentation and Embedded Systems, IMTEK − ...
IEEE

Jarque-Bera-Based Artificial Neural Correlation Analysis for Nonlinear and Non-Gaussian Process Monitoring

Abstract: Nonlinear and non-Gaussian characteristics are common in industrial processes. Artificial neural correlation analysis (ANCA) is a good nonlinear process monitoring algorithm, which combines ...