Title :
Notice of Retraction
Hydro-generator units operating condition forecasting and fault diagnosis based on GANN
Author :
Ge Xinfeng ; Pan Luoping ; Gao Zhongxin ; Tang Shu ; Chu Dongdong
Author_Institution :
China Inst. of Water Resources & Hydropower Res., Beijing, China
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.
In this paper, from the Angle to predict, take hydro-generating operation condition parameters (head, power) as input sample, take unit head cover vibration as output sample, create BP and GANN neural network prediction model. Train the established models, through comparing the two models. GANN model Has better precision.
Keywords :
backpropagation; condition monitoring; fault diagnosis; hydroelectric generators; neural nets; power engineering computing; BP neural network prediction model; GANN neural network prediction model; condition forecasting; fault diagnosis; hydrogenerating operation condition parameters; hydrogenerator units; Artificial neural networks; Fault diagnosis; Forecasting; Genetic algorithms; Mathematical model; Presses; Vibrations; BP neural network; GANN; condition forecasting; fault diagnosis; hydro-generating units;
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Conference_Location :
XianNing
Print_ISBN :
978-1-61284-458-9
DOI :
10.1109/CECNET.2011.5768865
