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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
- 3Fault detection
- 1Condition monitoring
- 1Crack modeling
- 1Damage detection
- 1Earthmoving equipment
- 1Equipment Health Monitoring
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Spring 2013
Tire failure in mining operations can hazardous, resulting in financial and productivity losses. There are opportunities to improve tire monitoring systems by safely and remotely providing full-field measurements of tire properties. An optical fault detection system has been developed to...
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Spring 2016
Vibration analysis has been widely used to detect gear tooth fault inside a planetary gearbox. However, the vibration characteristics of a planetary gearbox are very complicated. Inside a planetary gearbox, there are multiple vibration sources as several sun-planet gear pairs and several...
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System Level Monitoring for Time-Varying Conditions with Application to Ground Engaging Equipment
DownloadFall 2015
Condition monitoring is an effective tool for protecting equipment against unplanned and costly downtime. Conventionally, condition monitoring is only focused on the state of equipment's health and tracks the internal changes. However, more recent studies pointed out that an effective monitoring...