DocumentCode :
560716
Title :
Notice of Retraction
Fault diagnosis of marine boiler superheater tube rupture based on fuzzy neural network
Author :
Xue Min ; Wang Ying ; Li Yanjun
Author_Institution :
Navy Mil. Representatives Room, 426 Factory, Dalian, China
Volume :
2
fYear :
2011
fDate :
8-9 Sept. 2011
Firstpage :
389
Lastpage :
392
Abstract :
Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

Superheater tube rupture fault simulation model is established in this paper, and typical fault sample data are obtained though the model, fuzzy neural network is applied to train the sample data through simulation experiments, and the simulation results are with a certain degree of accuracy. This provides a reference for the study of marine boiler superheater tube rupture fault diagnosis.
Keywords :
boilers; condition monitoring; fault diagnosis; fracture; fuzzy neural nets; mechanical engineering computing; pipes; fault diagnosis; fault simulation model; fuzzy neural network; marine boiler superheater tube rupture; simulation experiments; Biological neural networks; Boilers; Data models; Electron tubes; Fault diagnosis; Fuzzy neural networks; Mathematical model; fault diagnosis; fuzzy neural network; simulation model; tube rupture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering and Automation Conference (PEAM), 2011 IEEE
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9691-4
Type :
conf
DOI :
10.1109/PEAM.2011.6134967
Filename :
6134967
Link To Document :
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