3 papers
cs.CL2026
Wind Turbine Maintenance Log Labelling Framework: LLM-Driven Data Correction and Enrichment via Semantic Extraction of Reliability Intelligence
Max Malyi, Jonathan Shek, Alasdair McDonald +1
As wind turbine fleets age, data-driven reliability engineering and maintenance optimisation are essential to manage lifecycle expenditure and support asset life extension. Histori…
cs.CL2025
Exploratory Semantic Reliability Analysis of Wind Turbine Maintenance Logs using Large Language Models
Max Malyi, Jonathan Shek, Andre Biscaya
A wealth of operational intelligence is locked within the unstructured free-text of wind turbine maintenance logs, a resource largely inaccessible to traditional quantitative relia…
cs.CL2025
A Comparative Benchmark of Large Language Models for Labelling Wind Turbine Maintenance Logs
Max Malyi, Jonathan Shek, Alasdair McDonald +1
Effective Operation and Maintenance (O&M) is critical to reducing the Levelised Cost of Energy (LCOE) from wind power, yet the unstructured, free-text nature of turbine maintenance…