A small deviation in manufacturing systems can cause huge economic losses, and all
components and sensors in the system must be continuously monitored to provide an …

Industrial control systems are undergoing a trans-formation driven by business requirements
as well as technical advances, aiming towards increased connectivity, flexibility and high …

Modular automation provides a challenge for traditional physics simulators, especially if they
are used as a simulator in the loop of a development or research project looking at behavior …

Modern manufacturing systems collect a huge amount of data which gives an opportunity to
apply various Machine Learning (ML) techniques. The focus of this paper is on the detection …

Technical advances as well as continuously evolving business demands are reshaping the
need for flexible connectivity in industrial control systems. A way to achieve such needs is by …

Cybersecurity is of increasing importance in industrial automation systems. The use of fine-
grained and intelligent access control is paramount in emerging manufacturing systems as …

Industrial automation systems (IASs) are utilized in vital facilities to sustain society's
fundamental services. As a consequence, protecting them against terrorist operations …

The recent advances in digitalization, improved connectivity and cloud based services are
making a huge revolution in manufacturing domain. In spite of the huge potential benefits in …

This thesis investigates anomaly detection and classification in a simulated modular
manufacturing environment using Machine Learning algorithm Random Forest. This …

In the realm of manufacturing, ensuring optimal product quality is of utmost importance. This
emphasizes the necessity for efficient anomaly detection, which identifies deviations from …