This decommissioned ERA site remains active temporarily to support our final migration steps to https://ualberta.scholaris.ca, ERA's new home. All new collections and items, including Spring 2025 theses, are at that site. For assistance, please contact erahelp@ualberta.ca.
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
- 1Adnan, Naseeb A
- 1Kammammettu, Sanjula
- 1Kotchon, Amanda Christine
- 1Li, Gang
- 1Liang, Xihui
- 1Madhusoodanan, Nived
-
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...
-
Fall 2011
Fault detection in rotating machinery has applications in fields such as wind turbines and helicopter transmissions. Detecting and diagnosing faults is important to maintenance planning, preventing equipment damage, and preventing failure. During this presentation, two novel signal-based methods...