Fault modelling using a mixture of conditional Gaussian transitions

Jovanovic, Dejan P., McVinish, Ross S. and Pollett, Philip K. (2011). Fault modelling using a mixture of conditional Gaussian transitions. In: Argyrios Zolotas, Proceedings of the 19th Mediterranean Conference on Control and Automation. 19th Mediterranean Conference on Control and Automation, Corfu, Greece, (472-478). 20-23 June 2011. doi:10.1109/MED.2011.5983194

Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials)
Name Description MIMEType Size Downloads
UQ269897_fulltext.pdf HERDC full text - not publicly available application/pdf 212.58KB 2

Author Jovanovic, Dejan P.
McVinish, Ross S.
Pollett, Philip K.
Title of paper Fault modelling using a mixture of conditional Gaussian transitions
Conference name 19th Mediterranean Conference on Control and Automation
Conference location Corfu, Greece
Conference dates 20-23 June 2011
Proceedings title Proceedings of the 19th Mediterranean Conference on Control and Automation
Place of Publication Piscataway, NJ, United States
Publisher IEEE
Publication Year 2011
Sub-type Fully published paper
DOI 10.1109/MED.2011.5983194
ISBN 9781457701245
9781457701238
Editor Argyrios Zolotas
Start page 472
End page 478
Total pages 7
Collection year 2012
Language eng
Abstract/Summary To model a fault that can be caused by more than one source, a mixture of conditional Gaussian transitions is proposed. The conditional means are modelled by recurrent neural networks. An expectation-maximization (EM) algorithm is used to estimate model parameters. By grouping known types of faults it is possible to form a bank of different fault models.
Keyword Fault modelling
Mixture of Gaussian transitions
Neural networks
EM algorithm
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Conference Paper
Collections: School of Mathematics and Physics
Official 2012 Collection
 
Versions
Version Filter Type
Citation counts: Scopus Citation Count Cited 0 times in Scopus Article
Google Scholar Search Google Scholar
Created: Wed, 14 Mar 2012, 15:49:17 EST by Professor Philip Pollett on behalf of Mathematics