Proceedings of 2013 International Conference on Information Science and Computer Applications

Research of Boiler Fault Diagnosis Based on Fuzzy Neural Network

Authors
Yifeng Wu, Xiaoqi Lin
Corresponding Author
Yifeng Wu
Available Online October 2013.
DOI
https://doi.org/10.2991/isca-13.2013.44How to use a DOI?
Keywords
boiler; fuzzy neural network; fault diagnosis
Abstract
Boiler system has the characteristics of high complexity, strong simultaneity, multiple measuring points, multiple faults, and the traditional fault diagnosis method can not meet the requirements. A fault diagnosis model based on fuzzy neural network is built by the combination of fuzzy logic technology and the improved BP neural network algorithm. The model is used to fault diagnosis and it can better solve the ambiguity, simultaneity and correlation of the boiler fault.Through analyzing the fault example of high temperature superheater damage, and the diagnosis results of the application of the model are verified that they are consistent with the actual operation conditions.
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Proceedings
2013 International Conference on Information Science and Computer Applications (ISCA 2013)
Part of series
Advances in Intelligent Systems Research
Publication Date
October 2013
ISBN
978-90786-77-85-7
ISSN
1951-6851
DOI
https://doi.org/10.2991/isca-13.2013.44How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yifeng Wu
AU  - Xiaoqi Lin
PY  - 2013/10
DA  - 2013/10
TI  - Research of Boiler Fault Diagnosis Based on Fuzzy Neural Network
BT  - 2013 International Conference on Information Science and Computer Applications (ISCA 2013)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/isca-13.2013.44
DO  - https://doi.org/10.2991/isca-13.2013.44
ID  - Wu2013/10
ER  -