Industrial cyber-physical systems

Power passports for fault tolerance: Anomaly detection in industrial CPS using electrical EFB

We present how electrical Extra-Functional Behavioural (EFB) metrics can be used in generating accurate representations of executional units for industrial Cyber-Physical Systems (CPS). We achieve this by employing our concept of power passports (the …

The Choice of AI Matters: Alternative Machine Learning Approaches for CPS Anomalies

We compare the pros and cons of two Artificial Intelligence (AI) solutions, addressing the anomaly detection and identification challenge in industrial Cyber-Physical Systems (CPS). We demonstrate how our current approach, Advanced DL, based on …

An Analytics-Based Method for Performance Anomaly Classification in Cyber-Physical Systems

The analysis and correct categorisation of software performance anomalies is a major challenge in current industrial Cyber-Physical Systems (CPS). The automated evaluation of runtime performance metrics provides an overview of the software behaviour …

Software Passports for Automated Performance Anomaly Detection of Cyber-Physical Systems

Software performance anomaly detection is a major challenge in complex industrial cyber-physical systems. The automated comparison of runtime execution metrics to reference ones provides a potential solution. We introduce the concept of software …