Outputs (62)

Dual polarity multi-level boost DC-DC converter (2024)
Presentation / Conference Contribution
Blackhorse-Hull, D., Mohanan-Leela, P., Alsafrani, A., Sarma, N., Crabtree, C., & Horsfall, A. (2024, June). Dual polarity multi-level boost DC-DC converter. Presented at 13th International Conference on Power Electronics, Machines and Drives (PEMD 2024), Nottingham, UK

Data-Driven Infrastructure Planning for Offshore Wind Farms (2024)
Presentation / Conference Contribution
Saxena, I., Kazemtabrizi, B., Troffaes, M. C., & Crabtree J., C. (2024, May). Data-Driven Infrastructure Planning for Offshore Wind Farms. Presented at Torque 2024, Florence, Italy

Offshore wind farms are one of the major renewable energy resources that can help the UK to reach its net zero target. Under the 10 point plan of the green revolution, the UK is set to quadruple its wind energy production by increasing its offshore w... Read More about Data-Driven Infrastructure Planning for Offshore Wind Farms.

Understanding wind turbine power converter reliability under realistic wind conditions (2024)
Journal Article
Alsaadi, S., Crabtree, C. J., Matthews, P. C., & Shahbazi, M. (2024). Understanding wind turbine power converter reliability under realistic wind conditions. IET Power Electronics, 17(4), 524-533. https://doi.org/10.1049/pel2.12670

The reliability of wind turbine power converters is crucial for analyzing wind energy project costs, and for estimating maintenance and downtime. The published literature in this field relies on evaluating the reliability effect of wind speed to esti... Read More about Understanding wind turbine power converter reliability under realistic wind conditions.

Convolutional neural network framework for wind turbine electromechanical fault detection (2023)
Journal Article
Stone, E., Giani, S., Zappalá, D., & Crabtree, C. (2023). Convolutional neural network framework for wind turbine electromechanical fault detection. Wind Energy, 26(10), 1082 - 1097. https://doi.org/10.1002/we.2857

Effective and timely health monitoring of wind turbine gearboxes and generators is essential to reduce the costs of operations and maintenance activities, especially offshore. This paper presents a scalable and lightweight Convolutional Neural Networ... Read More about Convolutional neural network framework for wind turbine electromechanical fault detection.

Performance comparison of Probabilistic and Artificial Neural Network Models for Long-sequence Generation of Wind Speed Forecasts (2022)
Presentation / Conference Contribution
Pina-Gongora, D. C., Kazemtabrizi, B., & Crabtree, C. (2022, October). Performance comparison of Probabilistic and Artificial Neural Network Models for Long-sequence Generation of Wind Speed Forecasts. Presented at 21st Wind and Solar Integration Workshop (WIW 2022), The Hague, Netherlands

This paper presents a new method for generating long-sequence wind speed time-series forecasts for purposes of offshore wind farm asset and operations planning. Our goal is to develop a planning decision support tool with which wind farm planners and... Read More about Performance comparison of Probabilistic and Artificial Neural Network Models for Long-sequence Generation of Wind Speed Forecasts.

Integrated condition-based maintenance modelling and optimisation for offshore wind farms (2021)
Journal Article
Dao, C. D., Kazemtabrizi, B., Crabtree, C. J., & Tavner, P. J. (2021). Integrated condition-based maintenance modelling and optimisation for offshore wind farms. Wind Energy, 24(11), 1180-1198. https://doi.org/10.1002/we.2625

Maintenance is essential in keeping wind energy assets operating efficiently. With the development of advanced condition monitoring, diagnostics and prognostics, condition‐based maintenance has attracted much attention in the offshore wind industry i... Read More about Integrated condition-based maintenance modelling and optimisation for offshore wind farms.

Condition Monitoring of Rotating Electrical Machines (2020)
Book
Tavner, P. J., Ran, L., & Crabtree, C. J. (2020). Condition Monitoring of Rotating Electrical Machines. (3rd ed.). Institution of Engineering and Technology (IET)

Condition monitoring of engineering plants has increased in importance as engineering processes have become increasingly automated. However, electrical machinery usually receives attention only at infrequent intervals when the plant or the electricit... Read More about Condition Monitoring of Rotating Electrical Machines.

Offshore Wind Turbine Reliability and Operational Simulation under Uncertainties (2020)
Journal Article
Dao, C. D., Kazemtabrizi, B., & Crabtree, C. J. (2020). Offshore Wind Turbine Reliability and Operational Simulation under Uncertainties. Wind Energy, 23(10), 1919-1938. https://doi.org/10.1002/we.2526

The fast‐growing offshore wind energy sector brings opportunities to provide a sustainable energy resource but also challenges in offshore wind turbine (OWT) operation and maintenance management. Existing operational simulation models assume determin... Read More about Offshore Wind Turbine Reliability and Operational Simulation under Uncertainties.

Simplified Automatic Fault Detection in Wind Turbine Induction Generators (2020)
Journal Article
Brigham, K., Zappalá, D., Crabtree, C., & Donaghy-Spargo, C. (2020). Simplified Automatic Fault Detection in Wind Turbine Induction Generators. Wind Energy, 23(4), 1135-1144. https://doi.org/10.1002/we.2478

This paper presents a simplified automated fault detection scheme for wind turbine induction generators with rotor electrical asymmetries. Fault indicators developed in previous works have made use of the presence of significant spectral peaks in the... Read More about Simplified Automatic Fault Detection in Wind Turbine Induction Generators.

Optimisation of Large Offshore Wind Farm Layout Considering Reliability and Wake Effect (2020)
Presentation / Conference Contribution
Li, X., Dao, C. D., Kazemtabrizi, B., & Crabtree, C. J. (2020, December). Optimisation of Large Offshore Wind Farm Layout Considering Reliability and Wake Effect. Presented at ASME Turbo Expo 2020, London

Nowadays, the increasing demand of electricity and environmental hazards of the greenhouse gas lead to the requirement of renewable energies. The wind energy has been proved as one of the most successful sustainable energies. Recently, the developmen... Read More about Optimisation of Large Offshore Wind Farm Layout Considering Reliability and Wake Effect.