PhD Studentship iCASE IoT and Machine Learning Technology for Condition Monitoring in Variable Speed Motor Drives at University of Nott

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PhD Studentship (iCASE) “IoT and Machine Learning Technology for Condition Monitoring in Variable Speed Motor Drives”
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- Engineering
Qualification Type:
PhD
Location:
Nottingham
Funding for:
UK Students
Funding amount:
EPSRC iCASE studentships are fully funded (fees and maintenance) for UK students only
Hours:
Full Time
Placed On:
1st June 2023
Closes:
30th June 2023
Reference:
ENG1670
The Power Electronics, Machines and Control Group at the **MEMBERS ONLY**SIGN UP NOW***. is offering a fully funded PhD studentship with Siemens as part of their recently awarded Industrial Cooperative Award in Science & Technology (iCASE). This award will provide the successful candidate with high-quality research training in advanced variable speed motor drive systems.
Variable speed drives are used in many industrial or commercial applications where process downtime can result in loss of income or penalties. Therefore, forecasting the remaining lifetime of a drive or prognosing potential failure can have significant commercial benefit. This PhD project will expand previous collaborative research between the **MEMBERS ONLY**SIGN UP NOW***. and Siemens PLC into condition monitoring of variable speed motor drives, and its main aim is to demonstrate Machine Learning (ML) and Internet of Things (IoT) technologies for prognosing and diagnosing electrical faults and degradation within a variable speed drive. The project will initially evaluate different Machine Learning approaches for characterising the degradation of the drive based on internal measurements made. It will then investigate how linking together different drives can improve the accuracy of the condition monitoring system and provide additional benefits for prognostics and diagnostics. A proof-of-concept demonstrator will be used to assess the performance of the developed technology.
The successful applicant will hold a First or Upper Second-Class Honours degree in Electrical and Electronic Engineering and will understand ML and IoT technologies. They will be able to demonstrate the typical attributes of successful researchers (creativity, ability to work independently as well as in a team) and will have excellent computing skills. We will also consider applicants from diverse backgrounds that have provided them with the equivalent and relevant experience and knowledge.
EPSRC iCASE studentships are fully funded (fees and maintenance)
for UK students only
. The successful candidate must be able to start before 1
st
October 2023.
To apply, will need to email your CV and a personal statement to Professor Mark Sumner. Please ensure you state in your email that you are applying for a IoT iCASE Award with Siemens.
Applicants are welcome to contact Dr Minglei You ****
or Professor Mark Sumner ****
directly for more information about the projects.
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