Imperial College London Featured PhD Programmes
The Francis Crick Institute Featured PhD Programmes
Imperial College London Featured PhD Programmes
Norwich Research Park Featured PhD Programmes
Max Planck Society Featured PhD Programmes
"condition" AND "monitori…×
10 miles

condition monitoring PhD Projects, Programs & Scholarships

We have 25 condition monitoring PhD Projects, Programs & Scholarships

  • "condition" AND "monitoring" ×
  • clear all
Order by 
Showing 1 to 10 of 25
  Bayesian Deep Learning for High Voltage Condition Monitoring
  Dr G Morison, Dr A Nesbitt
Applications accepted all year round

Funding Type

PhD Type

SCEBE-19-012. To ensure the power system operates safely and reliably, it is essential to monitor and evaluate the health condition of power equipment.
  Edge Computing for High Voltage Condition Monitoring– School of Computing, Engineering and Build Environment
  Dr A Nesbitt, Dr A L Michala, Dr G Morison
Applications accepted all year round

Funding Type

PhD Type

SCEBE-19-017. Recent developments in sensor, networked IIoT technology and computational storage have created a massive increase in the volume of captured data within high voltage condition monitoring systems.
  Condition monitoring of permanent magnet machines
  Dr K Gyftakis
Application Deadline: 11 April 2020

Funding Type

PhD Type

3-phase Permanent Magnet (PM) machines are used as motors and generators in various modern applications such as the electric transportation, wind energy harvesting and industry.
  Blockchains as a Distributed Ledger for Attribution of RCM Data in Rail (B4CM)
  Dr J Easton, Prof C Roberts
Applications accepted all year round

Funding Type

PhD Type

Over the past decade there has been a significant level of investment throughout Europe in the digitalisation of the rail network; with sensors installed on the infrastructure and vehicles, the deployment of next generation traffic management systems that allow real-time management of the system, and the provision of mobile applications for passengers and staff.
  Analytics for condition based maintenance
  Dr A Zemkoho, Dr S Coniglio
Applications accepted all year round

Funding Type

PhD Type

Siemens Rolling Stock UK is sponsoring a PhD project on Data Analytics and Operational Research. This project will focus on developing a combination of data- and model-driven approaches to support the condition based maintenance of rolling stock equipment.
  Next generation electrical motor drives for wind and automotive applications
  Dr S Durovic
Applications accepted all year round

Funding Type

PhD Type

The automotive, aerospace, offshore wind and manufacturing sectors are looking for much improved performance envelope electrical machines and drives to underpin ambitions plans for market electrification.
  Unlocking the Power of Data in the Shipping Industry
  Dr A Coraddu
Applications accepted all year round

Funding Type

PhD Type

For the Shipping Industry, the Information Age means the availability of ever-growing amount of data coming from multiple sensors present on-board.
  A combined framework of machine learning and full waveform inversion for electromagnetic sensing of infrastructure (Advert Reference: SF18/MCE/WARREN)
  Dr C Warren
Applications accepted all year round

Funding Type

PhD Type

Electromagnetic sensing systems, such as Ground Penetrating Radar (GPR), are critical tools to allow us to evaluate the condition of surface and sub-surface infrastructure.
  PhD in Vehicle Integrity Test and Measurement
  Mr M Samie, Prof I jennions
Application Deadline: 21 December 2019

Funding Type

PhD Type

PhD at the Boeing founded IVHM Centre with the opportunity for a two-year sponsorship from Singapore’s Agency for Science, Technology and Research (A* Star).
  Enhancing the performance, condition, safety and reliability of offshore wind energy infrastructure systems using optimal design, inspections, structural health monitoring and structural control
  Dr P Omenzetter, Dr P Dunning, Dr S S Aphale
Applications accepted all year round

Funding Type

PhD Type

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.
Show 10 15 30 per page


FindAPhD. Copyright 2005-2019
All rights reserved.