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Theses and Dissertations
This collection contains theses and dissertations of graduate students of the University of Alberta. The collection contains a very large number of theses electronically available that were granted from 1947 to 2009, 90% of theses granted from 2009-2014, and 100% of theses granted from April 2014 to the present (as long as the theses are not under temporary embargo by agreement with the Faculty of Graduate and Postdoctoral Studies). IMPORTANT NOTE: To conduct a comprehensive search of all UofA theses granted and in University of Alberta Libraries collections, search the library catalogue at www.library.ualberta.ca - you may search by Author, Title, Keyword, or search by Department.
To retrieve all theses and dissertations associated with a specific department from the library catalogue, choose 'Advanced' and keyword search "university of alberta dept of english" OR "university of alberta department of english" (for example). Past graduates who wish to have their thesis or dissertation added to this collection can contact us at erahelp@ualberta.ca.
Items in this Collection
- 5Prognostics
- 2Pipeline
- 2Wind farm
- 1Artificial neural network
- 1Bayesian inference
- 1Condition based maintenance
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Metal Loss Defect Failure Analysis and Prognostics Considering Defect Interactions and Complex Service Conditions
DownloadSpring 2023
Clean energy has attracted intensive attention as the global energy transition is accelerated. Pipelines are significant for achieving large-scale clean energy transportation. Meanwhile, gears are vital components in wind turbines. Metal loss defects are dominant faults of pipelines and gears,...
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Spring 2019
Pipelines have been used for several decades, and threats such as corrosion, fatigue crack and erosion increase the danger of leak or rupture. Faulty pipelines could lead to very expensive downtime and environmental damage. Therefore, it is essential to have effective ways to monitor, evaluate...
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Prognostics and Maintenance Decision-making for Mechanical Systems based on Condition Monitoring Data
DownloadSpring 2024
Condition-based maintenance (CBM) is a maintenance approach that uses condition monitoring data to make maintenance decisions. The goal of CBM is to avoid machine shutdowns, reduce maintenance costs, and improve system safety. In modern mechanical systems, a wide range of sensors are used to...
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Fall 2018
Maintenance management in wind energy industry has great impact on overall wind power cost. Optimizing maintenance strategies can substantially reduces the cost and makes wind energy more competitive among the energy resources. Due to the extreme conditions of remote or offshore sites where the...
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Fall 2011
In recent decades, condition-based maintenance has been acknowledged as a cost-effective maintenance program and widely used in many engineering systems. Diagnostics and prognostics are critical components of condition-based maintenance, responsible for providing information about present and...