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
  • Hybrid sychronous compensator arrangement in providing ancillary services along with a windfarm
  • Machine learning dimensionality reduction for gearbox bearing failure prediction
Embargo Note
  • This thesis is permanently restricted to Strathclyde users only

Relations

Items

Thumbnail Title Date Uploaded Visibility Actions
file details File 2021-10-21 University of Strathclyde