Francesco Castellani

Associate Professor

University of Perugia

Italy

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About

Francesco Castellani is an Associate Professor at the University of Perugia, Italy. His research areas include noise and vibrations in machines, artificial neural networks for wind turbine diagnostics, pipeline fault detection, and GIS data applications in environmental assessments. He has published extensively on wind turbine performance analysis, SCADA data methodologies, and innovative monitoring techniques within the field of renewable energy.

Articles (14)

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2025

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2021

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2021

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2020

Collaborators (6)

Lukasz Scislo

Assistant Professor

Cracow University of Technology

POLAND

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Ravi Pandit

Lecturer in Instrumentation and AI

Cranfield University

UNITED KINGDOM

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Caterina Capponi

University of Perugia

ITALY

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Bruno Brunone

Professor

University of Perugia

ITALY

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Raymond Byrne

Lecturer/Researcher

Dundalk Institute of Technology

IRELAND

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Silvia Meniconi

Associate professor

Università degli Studi di Napoli Federico II

ITALY

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Francesco Castellani

Research Interests

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About

Articles (14)

Advances in Noise and Vibrations for Machines

Use of Artificial Neural Networks and SCADA Data for Early Detection of Wind Turbine Gearbox Failures

Performance Assessment of Pneumatic-Driven Automatic Valves to Improve Pipeline Fault Detection Procedure by Fast Transient Tests

The Role of GIS Data Post-Processing in the Environmental Assessment: The Case of Umbria, Italy

Advanced Methods for Wind Turbine Performance Analysis Based on SCADA Data and CFD Simulations

Experimental and Numerical Investigation of the Effect of Blades Number on the Dynamic Response of a Small Horizontal-Axis Wind Turbine

Editorial on the Special Issue “Wind Turbine Monitoring through Operation Data Analysis”

Wind Flow Characterisation over a PV Module through URANS Simulations and Wind Tunnel Optical Flow Methods

Multi-Scale Wind Turbine Bearings Supervision Techniques Using Industrial SCADA and Vibration Data

SCADA Data Analysis Methods for Diagnosis of Electrical Faults to Wind Turbine Generators

Estimation of the Performance Aging of the Vestas V52 Wind Turbine through Comparative Test Case Analysis

Multivariate SCADA Data Analysis Methods for Real-World Wind Turbine Power Curve Monitoring

Aerodynamic Analysis of a Wind-Turbine Rotor Affected by Pitch Unbalance

Video-Tachometer Methodology for Wind Turbine Rotor Speed Measurement

Collaborators (6)

Lukasz Scislo

Ravi Pandit

Caterina Capponi

Bruno Brunone

Raymond Byrne

Silvia Meniconi

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