CABLEGNOSIS Results Presented at EEEIC 2026

CABLEGNOSIS results were presented at the EEEIC 2026 Conference, held in Lisbon, Portugal, in July 2026, showcasing the project’s work on advanced fault diagnosis approaches for modern power systems.

Project partners from the University of Cyprus presented the paper “AI-Driven Fault Diagnosis Scheme for Power Systems Using PMU Measurements”, focusing on the fault diagnosis schemes developed within CABLEGNOSIS and their application to Phasor Measurement Unit (PMU) measurements.

The presented work explores the use of artificial intelligence techniques combined with high-resolution synchrophasor measurements to support the detection and diagnosis of power system faults. By leveraging PMU-based measurements, the developed approaches contribute to the analysis of power system disturbances and the advancement of data-driven fault diagnosis methods.

The results were presented in the following paper:

“AI-Driven Fault Diagnosis Scheme for Power Systems Using PMU Measurements”
T. Avraamides, C. Panayiotou, M. Asprou
EEEIC 2026, Lisbon, Portugal, July 2026

The conference provided an opportunity to disseminate CABLEGNOSIS research findings to the wider scientific and engineering community, while also facilitating knowledge exchange on emerging approaches for power system monitoring, fault diagnosis and reliability.

Useful links:
• EEEIC 2026 Conference
• EEEIC 2026 Programme and Special Sessions