DocumentCode
527445
Title
Notice of Retraction
Wavelet neural network based on compound model PSO with stochastic inertia weight and its application in choosing tested positions of gearbox
Author
Ying Liu ; Shuang Sun ; Jie Liu
Author_Institution
Tianjin Key Lab. of High Speed Cutting&Precision Machining, Tianjin Univ. of Technol. & Educ., Tianjin, China
Volume
3
fYear
2010
fDate
10-12 Aug. 2010
Firstpage
1469
Lastpage
1472
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.
Compound model PSO with stochastic inertia weight is put forward and used to optimize the parameters of wavelet neural network. The trained wavelet neural-network is applied to choosing tested position of gearbox. It is an available approach to solve the problems on choosing tested position in 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.
Compound model PSO with stochastic inertia weight is put forward and used to optimize the parameters of wavelet neural network. The trained wavelet neural-network is applied to choosing tested position of gearbox. It is an available approach to solve the problems on choosing tested position in fault diagnosis.
Keywords
fault diagnosis; gears; mechanical engineering computing; neural nets; particle swarm optimisation; stochastic processes; compound model PSO; fault diagnosis; gearbox; stochastic inertia weight; trained wavelet neural-network; Artificial neural networks; Compounds; Fault diagnosis; Particle swarm optimization; Stochastic processes; Teeth; Training; PSO; fault diagnosis; neural-network; wavelet;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location
Yantai
Print_ISBN
978-1-4244-5958-2
Type
conf
DOI
10.1109/ICNC.2010.5582817
Filename
5582817
Link To Document