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.
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