Title :
Notice of Retraction
Application of principal component analysis and BP neural network in gear noise prediction
Author :
Xu Yudong ; Cheng Guangming
Author_Institution :
Inst. of Mech. Sci. & Eng., Jilin Univ., Changchun, 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.
This paper presents an experimental investigation on gear noise for identifying the influence of gear tooth geometrical errors caused by machining on the radiated sound. The prediction model for the gear noise was established based on the principal component analysis (PCA) and BP neural network method. Using the principal components of original variables as the input of network can cut down the dimensions of input, and at the same time eliminate the relativity between variables. Back-propagation neural networks were introduced to describe the relationships between gear tooth geometrical errors and sound pressure level. The results indicate that the model has better predictive capability.
Keywords :
acoustic noise; backpropagation; gears; machining; mechanical engineering computing; neural nets; principal component analysis; BP neural network; gear noise prediction; gear tooth geometrical errors; machining; principal component analysis; Acoustic noise; Artificial neural networks; Gears; Machining; Neural networks; Predictive models; Principal component analysis; Teeth; Testing; Torque; gear noise; neural network; prediction; principal component analysis;
Conference_Titel :
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6347-3
DOI :
10.1109/ICCET.2010.5485997
