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We have 28 condition monitoring PhD Projects, Programmes & Scholarships

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condition monitoring PhD Projects, Programmes & Scholarships

We have 28 condition monitoring PhD Projects, Programmes & Scholarships

Condition monitoring and non-destructive testing of dynamic cable for offshore renewable energy industry

Offshore wind energy is central to UK’s ambition of transitioning to a sustainable future electricity grid. The growth in power generation from floating wind turbines is increasingly further away from shore and utilising the floating wind turbine support structures. Read more

Condition monitoring and non-destructive testing of dynamic cable for offshore renewable energy industry

Offshore wind energy is central to UK’s ambition of transitioning to a sustainable future electricity grid. The growth in power generation from floating wind turbines is increasingly further away from shore and utilising the floating wind turbine support structures. Read more

Advanced digital signal processing for condition monitoring for rotative electrical machines

The production of electric energy from wind technology has experience great advances in the later years. It is estimated that the potential of wind energy in the world is between 20.000 x 106 and 50.000 x 106 MWh/year, whereas the energy consumption is about 15.000 x 106 MWh/year. Read more

Scalable continuous Machine Learning for non-Stationary Systems

Nonlinear time series prediction attracts researchers from many different disciplines such as engineering systems condition monitoring and control, financial markets prediction and energy management, etc. Read more

EPSRC CDT in Machine Learning Systems

Machine Learning has a dramatic impact on our daily lives built on the back of improved computer systems. Systems research and ML research are symbiotic. Read more

Enhancing the performance, condition, safety and reliability of offshore wind energy infrastructure systems using optimal inspections and structural health monitoring

These projects are open to students worldwide, but have no funding attached. Therefore, the successful applicant will be expected to fund tuition fees at the relevant level (home or international) and any applicable additional research costs. Read more

Modelling within-individual variability of clinical parameters and investigation of their effects on clinical decision-making

All measured clinical parameters vary within individual the same individual. This variation includes biological variation (chance variation around a physiological mean) and variation in the measurement process (measurement error). Read more

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