Abstract Cyber–Physical Production Systems (CPPSs) are hybrid systems composed of a
discrete and continuous part. However, most of the applied machine learning algorithms …

Process mining is a technique for exploring models based on event sequences, growing in
popularity in the process industry. Process mining algorithms assume that the processed log …

Simultaneous occurrences of events have been a crucial and hard problem since the
beginning of the research about automaton and simulation theories of discrete event …

Описана взаимосвязь концепции Industry 4.0 с киберфизическими системами и
цифровыми двойниками. Представлен анализ возможностей современных …

Amid the increasing significance of renewable energy sources, Green Hydrogen Plants
(GHPs) have emerged as pivotal contributors to sustainable energy solutions. However …

In industrial plants, diagnosing energy efficiency issues is essential to achieve sustainable
operations and reduce costs. This paper introduces a novel diagnostic approach using …

This paper proposes a new methodology inspired from pattern matching and able to find
alarm correlations with or without prior knowledge about the monitored system. The data …

In automated plants, particularly in the petrochemical, energy, and chemical industries, the
combined management of all of the incidents that can produce a catastrophic accident is …

Temporal aspects of multilevel flow modelling (MFM) are important for reasoning about
causes and consequences. In particular real time reasoning about sensor data are …

The relationship of the Industry 4.0 concept with cyberphysical systems and digital twins is
described. The analysis of the capabilities of modern information systems of discrete and …