[TC Webinar] Applying statistical methods in industrial process diagnostics and degradation modelling
Tuesday 27 May 2025 at 2:00 PM CET, 8:00 AM EST
By Waldemar Bauer and Jerzy Baranowski (AGH University of Kraków)
Register now using the link below:
https://attendee.gotowebinar.com/register/1086876486643438940
Abstract:
In the increasingly complex landscape of industrial processes, the ability to diagnose faults and model degradation is critical for maintaining efficiency and reducing downtime. This webinar, titled “Applying Statistical Methods in Industrial Process Diagnostics and Degradation Modelling,” will explore the state of the art in this field and address key challenges, such as data scarcity, the lack of robust benchmarks, and the pervasive uncertainty in industrial environments. We will discuss the advantages of applying advanced statistical methods, highlighting approaches like Bayesian modeling, functional data analysis, Monte Carlo computation, and Bayesian neural networks. These methodologies offer powerful tools for enhancing diagnostic accuracy and predictive modeling. Furthermore, the webinar will introduce the Laboratory for Investigation of Fault Diagnosis and Degradation, a hub for cutting-edge research, and provide an overview of upcoming benchmark datasets that will serve as crucial resources for the community. This session is designed for professionals and researchers looking to deepen their understanding of statistical methods in industrial diagnostics and to stay at the forefront of this rapidly evolving field.
Presenters’ bio:
Dr Waldemar Bauer received his master’s degree in computer science and PhD in control engineering in from the AGH University of Krakow in 2012, 2020, respectively. Currently he works as an assistant professor at the Department of Automatic Control and Robotics of AGH University in Krakow. His current research interests include data analysis, machine learning, optimization, business process digitalization, control theory, numerical methods, and process diagnostics.
Prof. Jerzy Baranowski (M2012-SM2021) received his master’s degree, PhD, and DSc (Habilitation) in control engineering from the AGH University of Krakow in 2006, 2010 and 2017, respectively. In 2024, he was awarded the title of professor by the president of the Republic of Poland. He is currently a full professor of automatic control at the Department of Automatic Control and Robotics of AGH University in Krakow. He is the head of the Laboratory of Computer Science in the Control and Management department. He has authored over 200 publications, including books, journal papers and conference talks. He was awarded by the Polish Ministry of Science and Higher Education a stipend for the best young researchers and a medal of the National Education Committee. His research interests include the fields of process diagnostics, predictive maintenance, decision support, statistical inference, control theory and efficient methods of computation.