Pylon PictureDiscover how Queensland University of Technology (QUT) successfully developed a risk-based predictive model to aid decision makers in Transmission Network Assets (TNA) with their often sensitive and highly complex replacement and refurbishment assessments and evaluations.

Decision making surrounding the replacement and/or refurbishment of electricity network assets requires significant investment from service providers. Numerous factors and high-quality predictions regarding future risks must be assessed, including structure characteristics, voltage, load, and the operating environment. QUT's LinEAR platform (Linear Engineering Asset Renewal tools) enables 'what-if' analysis for different maintenance scenarios and has the potential to benefit evidence-based budgeting, cost/benefit optimisation and quantitative justification for decisions by predicting unplanned maintenance actions.

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