Fabio Leonardi

University of Catania

Papers

1

Total Citations

8

H-Index

1

About

Fabio Leonardi is a leading researcher in the field of renewable energy asset management, with a primary focus on the operation and maintenance of wind farms. His work centers on developing intelligent, risk-based strategies that integrate autonomous robotic inspections to enhance the efficiency and reliability of wind energy infrastructure. In his highly regarded 2019 paper, "A Risk-Based Approach to Automate Preventive Maintenance Tasks Generation by Exploiting Autonomous Robot Inspections in Wind Farms," Leonardi tackled two critical challenges in maintenance strategy: identifying which plant components require inspection and planning optimal, cost-effective actions to minimize production losses. This work, which has garnered 8 citations, provides a foundational framework for automating the decision-making process in wind farm maintenance. By bridging the gap between robotics, risk analysis, and operational planning, Leonardi’s contributions are paving the way for more autonomous, data-driven, and resilient renewable energy systems, making his research essential reading for engineers and scholars working to lower the levelized cost of energy.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
A Risk-Based Approach to Automate Preventive Maintenance Tasks Generation by Exploiting Autonomous Robot Inspections in Wind Farms
8 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University of Catania

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago