Imperial College London Featured PhD Programmes
Gdansk University of Technology Featured PhD Programmes
FindA University Ltd Featured PhD Programmes

condition monitoring PhD Projects, Programmes & Scholarships

We have 25 condition monitoring PhD Projects, Programmes & Scholarships

Discipline

Discipline

All disciplines

Location

Location

All locations

Institution

Institution

All Institutions

PhD Type

PhD Type

All PhD Types

Funding

Funding

All Funding


We have 25 condition monitoring PhD Projects, Programmes & Scholarships

PhD saved successfully

Holistic Condition Monitoring Methodology for Power System Assets using Machine Learning

Applications will remain open until a suitable candidate has been identified. Early applications are encouraged. Fulfilling the complex and numerous requirements of modern power systems is becoming increasingly more challenging, one of the primary contributors being the ageing infrastructure. Read more

Development of condition monitoring techniques for SF6 alternatives in high voltage plant

Manchester is home to one of the largest electrical and electronic engineering departments in the country. Our High Voltage Laboratory makes us a place renowned for applied research, a place ranked in the top three UK universities for research impact. Read more

Machine Learning Approach to Identify Environmentally Friendly Alternatives to SF6 for UK Electricity Networks

Manchester is home to one of the largest electrical and electronic engineering departments in the country. Our High Voltage Laboratory makes us a place renowned for applied research, a place ranked in the top three UK universities for research impact. Read more

Investigation of Greenhouse Gas Alternatives for Electrical Insulation

Manchester is home to one of the largest electrical and electronic engineering departments in the country. Our High Voltage Laboratory makes us a place renowned for applied research, a place ranked in the top three UK universities for research impact. Read more

Machine learning for fault and anomaly detection in food and drink manufacturing

The Industry 4.0 revolution is allowing huge quantities of process data from large scale manufacturing operations (such as those in the food industry) to be collected and analysed, and Digital Twins (i.e., highly accurate models) of these processes to be constructed. 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

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

 . Wind turbines are exposed to frequent structural damage increasing the cost of wind energy generation. To drive these costs down, this project will develop new automated methods for detection of structural damage to wind turbines by examining vibration responses measured by sensors attached to the structure. Read more

Ambulatory monitoring of Raynaud’s phenomenon and systemic sclerosis associated microcirculation

Systemic sclerosis (SSc), a microvascular autoimmune disease, causes damage to the small blood vessels (microvasculature). Although rare it has the highest mortality of all rheumatological conditions and causes significant morbidity. Read more

AI enabled Remote Health Monitoring (PHDCEPS2122002)

This project is to design and develop AI enabled remote health monitoring systems. The main aim is to adopt IoT based sensory platforms and apply AI techniques to remotely monitor the patient/individuals. Read more

Filtering Results