Thesis
Research mini-projects : 1. Machine learning dimensionality reduction for gearbox bearing failure prediction. 2. Hybrid sychronous compensator arrangement in providing ancillary services along with a windfarm
- Creator
- Rights statement
- Awarding institution
- University of Strathclyde
- Date of award
- 2018
- Thesis identifier
- T16036
- Person Identifier (Local)
- 201666378
- Qualification Level
- Qualification Name
- Department, School or Faculty
- Abstract
- No abstract available.
- Advisor / supervisor
- Burt, Graeme
- Resource Type
- DOI
- Alternative Title
- Machine learning dimensionality reduction for gearbox bearing failure prediction
- Hybrid sychronous compensator arrangement in providing ancillary services along with a windfarm
- Embargo Note
Relations
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File | 2021-10-21 | University of Strathclyde |