TY - GEN
T1 - Vibration analysis of a submarine model based on an improved ICA approach
AU - Cheng, Wei
AU - Zhang, Zhousuo
AU - He, Zhengjia
PY - 2010
Y1 - 2010
N2 - Vibration and noise reduction and control have obvious significance for submarines. A novel vibration analysis method based on an improved ICA algorithm is proposed in this paper. By using the clustering evaluation method, the stability and separating performance of the algorithm are significantly enhanced. The improved ICA algorithm is applied to feature extraction of the vibration signals and quantitative calculation of the source contributions of a scaled submarine model. The result shows that the proposed method is effective, and this research provides a primary basis for the vibration and noise control of submarines.
AB - Vibration and noise reduction and control have obvious significance for submarines. A novel vibration analysis method based on an improved ICA algorithm is proposed in this paper. By using the clustering evaluation method, the stability and separating performance of the algorithm are significantly enhanced. The improved ICA algorithm is applied to feature extraction of the vibration signals and quantitative calculation of the source contributions of a scaled submarine model. The result shows that the proposed method is effective, and this research provides a primary basis for the vibration and noise control of submarines.
KW - Clustering evaluation
KW - Feature extraction
KW - Independent component analysis
KW - Quantitative calculation
KW - Source contributions
UR - https://www.scopus.com/pages/publications/84867385984
U2 - 10.1007/978-3-642-12990-2_84
DO - 10.1007/978-3-642-12990-2_84
M3 - 会议稿件
AN - SCOPUS:84867385984
SN - 9783642129896
T3 - Lecture Notes in Electrical Engineering
SP - 721
EP - 728
BT - Advances in Neural Network Research and Applications
T2 - 7th International Symposium on Neural Networks, ISNN 2010
Y2 - 6 June 2010 through 9 June 2010
ER -