Referenced Items are not available for this document.
As high-voltage electric equipment has complex structure and works in harsh environment, FBG (fiber Bragg gating) sensors were applied to realize the real-time monitoring of some characters in which temperature was taken as the main factor. Using neural network to recognize and classify fault types, making a further fusion of fault information by expert system. After simulation and experiment, it shows good results, and provides a effective way to realize the monitoring and exact diagnosis of temperature-variation fault on high-voltage electric equipment.
Published in:
Machine Learning and Cybernetics, 2008 International Conference on
(Volume:1
)
Date of Conference: 12-15 July 2008
- Page(s):
- 127 - 130
- E-ISBN :
- 978-1-4244-2096-4
- Print ISBN:
- 978-1-4244-2095-7
- INSPEC Accession Number:
- 10206595
- Conference Location :
- Kunming
- Digital Object Identifier :
- 10.1109/ICMLC.2008.4620391
- Product Type:
- Conference Publications
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