Fault diagnosis for power system based on a special Bayesian network
To deal with a lot of uncertain information existing in the grid when faulted, this article uses a special Bayesian network-Noisy-or, Noisy-and nodes model to build object-oriented Bayesian networks. An error back propagation algorithm is used to train the Bayesian network so as to update the networ...
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Published in | TENCON 2015 - 2015 IEEE Region 10 Conference pp. 1 - 6 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.11.2015
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Subjects | |
Online Access | Get full text |
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Summary: | To deal with a lot of uncertain information existing in the grid when faulted, this article uses a special Bayesian network-Noisy-or, Noisy-and nodes model to build object-oriented Bayesian networks. An error back propagation algorithm is used to train the Bayesian network so as to update the network's parameters. Finally a case simulation is presented to prove the accuracy and validity of this method for power system fault diagnosis. |
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ISBN: | 9781479986392 1479986399 |
ISSN: | 2159-3442 2159-3450 |
DOI: | 10.1109/TENCON.2015.7372723 |