This study details the development of a mathematical thermal model of a small wind turbine gearbox for use in condition monitoring. The model was optimised and partially validated using experimental data from a wind turbine drivetrain test rig. The model was then used to mimic bearing faults, by simulating additional heat losses at respective faulty components. The extent to which the thermal behaviour changed as a result of a fault was studied, with a view to use such an approach to detect and locate faults
Developing effective wind turbine fault detection algorithm is not only meaningful for improving win...
The wind energy industry has been suffering from premature wind turbine gearbox failures since its i...
Paper examining condition monitoring wind turbine gearboxes using on-line/in-line oil analysis techn...
This paper details the development of a mathematical thermal model of a small wind turbine gearbox f...
Condition monitoring is an important part of predictive maintenance. Early detection of incipient fa...
This work uses a detailed understanding of the physics inside a wind turbine gearbox and SCADA tempe...
This work uses a detailed understanding of the physics inside a wind turbine gearbox and SCADA tempe...
Cost-effective wind turbine diagnosis using SCADA data is a promising technology for future intellig...
Cost-effective wind turbine diagnosis using SCADA data is a promising technology for future intellig...
This research aims to bring together thermal modelling and machine learning approaches to improve th...
Cost-effective wind turbine diagnosis using SCADA data is a promising technology for future intellig...
This paper presents a method of anomaly detection within a gearbox by way of standardising temperatu...
Effective condition monitoring techniques for wind turbines are needed to improve maintenance proces...
Developing effective wind turbine fault detection algorithm is not only meaningful for improving win...
Developing effective wind turbine fault detection algorithm is not only meaningful for improving win...
Developing effective wind turbine fault detection algorithm is not only meaningful for improving win...
The wind energy industry has been suffering from premature wind turbine gearbox failures since its i...
Paper examining condition monitoring wind turbine gearboxes using on-line/in-line oil analysis techn...
This paper details the development of a mathematical thermal model of a small wind turbine gearbox f...
Condition monitoring is an important part of predictive maintenance. Early detection of incipient fa...
This work uses a detailed understanding of the physics inside a wind turbine gearbox and SCADA tempe...
This work uses a detailed understanding of the physics inside a wind turbine gearbox and SCADA tempe...
Cost-effective wind turbine diagnosis using SCADA data is a promising technology for future intellig...
Cost-effective wind turbine diagnosis using SCADA data is a promising technology for future intellig...
This research aims to bring together thermal modelling and machine learning approaches to improve th...
Cost-effective wind turbine diagnosis using SCADA data is a promising technology for future intellig...
This paper presents a method of anomaly detection within a gearbox by way of standardising temperatu...
Effective condition monitoring techniques for wind turbines are needed to improve maintenance proces...
Developing effective wind turbine fault detection algorithm is not only meaningful for improving win...
Developing effective wind turbine fault detection algorithm is not only meaningful for improving win...
Developing effective wind turbine fault detection algorithm is not only meaningful for improving win...
The wind energy industry has been suffering from premature wind turbine gearbox failures since its i...
Paper examining condition monitoring wind turbine gearboxes using on-line/in-line oil analysis techn...