DocumentCode
2106538
Title
Notice of Retraction
Application of Kalman Filter Method Based Movement Model in the Dam Deformation Forecast
Author
Fumin Lu ; Shangqing Wang ; Jin Li ; Xueqing Yan
Author_Institution
Key Lab. of Geol. Hazards on Three Gorges, Three Gorges Univ., Yichang, China
fYear
2010
fDate
28-31 March 2010
Firstpage
1
Lastpage
4
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.
The monitoring system of a dam is introduced, the deformation of the dam is looked upon as the function of the time, Taylor series is used to erect the functional relationship of the dam to the time, the remainder term of Taylor series and the variation of coefficients of the second power and the third power of the time are looked upon as dynamic noises whose mathematical expectations are 0 to erect Kalman filter model and predict the deformation of the dam. An example of calculation shows that the fitted effect and the forecast effect of the model are better.
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.
The monitoring system of a dam is introduced, the deformation of the dam is looked upon as the function of the time, Taylor series is used to erect the functional relationship of the dam to the time, the remainder term of Taylor series and the variation of coefficients of the second power and the third power of the time are looked upon as dynamic noises whose mathematical expectations are 0 to erect Kalman filter model and predict the deformation of the dam. An example of calculation shows that the fitted effect and the forecast effect of the model are better.
Keywords
Kalman filters; dams; hydroelectric power stations; mathematical analysis; monitoring; Kalman filter model; Taylor series; dam deformation forecast; dam monitoring system; dynamic noises; mathematical expectations; movement model; second power coefficients; time function; Cities and towns; Deformable models; Geology; Hazards; Laboratories; Mathematical model; Monitoring; Predictive models; Reservoirs; Taylor series;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
Conference_Location
Chengdu
Print_ISBN
978-1-4244-4812-8
Type
conf
DOI
10.1109/APPEEC.2010.5448961
Filename
5448961
Link To Document