Skip to Main Content
  1. Graduate and Postdoctoral Studies (GPS), Faculty of
  2. Theses and Dissertations

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

Skip to Search Results
Filter
Close
Subject / Keyword
Departments
Author / Creator / Contributor
Year
to
Collections
Languages
Item type
Supervisors

Results for "Probability Distributions on a Circle"

Subject: Bayesian Departments: Department of Chemical and Materials Engineering

  • Bayesian Solutions to Control Loop Diagnosis

    Download

    Fall 2014

    Gonzalez, Ruben T

    another technique is a modification on Dempster-Shafer Theory. Evidence in previous work was considered to be a vector of discrete variables, and the resulting probability estimates consisted of discrete categorical distributions. However, most monitors have continuous outputs that are only discretized

    While there has been much literature in the area of system monitoring and diagnosis, most of these techniques have a relatively small scope in terms of the faults and performance issues that they are built to detect. When implementing several monitors simultaneously on a single process, a single

    problem can result in multiple alarms, making it difficult to single out the underlying cause. Recent work has been done on incorporating information from multiple monitoring systems by means of Bayesian diagnosis; however, work so far is still in its infancy. This thesis focuses on a number of techniques

1 - 1 of 1