Supplementing predictive maintenance tasks using alternative data-generation techniques for low failure rate and low data volume scenarios
thesis
posted on 2025-05-15, 12:11 authored by Ryan WilliamsonSupplementing predictive maintenance tasks using alternative data-generation techniques for low failure rate and low data volume scenarios
Funding
EPSRC Centre for Doctoral Training in Embedded Intelligence (CDT-EI) EP/L014998/1
History
School
- Mechanical, Electrical and Manufacturing Engineering
Publisher
Loughborough UniversityRights holder
© Ryan WilliamsonCopyright date
2024Notes
A Doctoral Thesis. Submitted in partial fulfilment of the requirements for the award of the degree of Doctor of Philosophy of Loughborough University.Language
- en
Supervisor(s)
Prof Andrew West ; Dr Paul Goodall ; Dr Radmehr Monfared ; Prof Carmen Torres-Sanchez ; Prof Paul ConwayQualification name
- PhD
Qualification level
- Doctoral
This submission includes a signed certificate in addition to the thesis file(s)
- I have submitted a signed certificate
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