Two ECE team members.

ECE Curtin introduce their novel online approach to accurately predict faults within various assets in the power network before they arise. This identification allows companies to take immediate and preventative action before any catastrophic consequences occur.

ECE Curtin measure the input/output of current/voltage for each asset in the electricity grid to create a 'fingerprint'. Any variation in the fingerprint is then an early indication for faults.

This variation can be automatically detected in real time using intelligent software.

Lead Institute

Curtin University

Team members

Ahmed Abu-Siada
Rohan McDougall
Tom Hammond

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