TY - GEN
T1 - Dissimilarity measures for ICA-based source number estimation
AU - Cheng, Wei
AU - Lee, Seungchul
AU - Zhang, Zhousuo
AU - He, Zhengjia
PY - 2012
Y1 - 2012
N2 - Most of blind source separation problems are carried out with a priori knowledge of the source numbers. However, for source separation-based machinery condition monitoring and fault diagnosis, it is a challenge work to determine the number of sources for a well source separation due to complex structures and nonlinear mixing mode. Therefore, source number estimation is a necessary and important procedure prior to source separation and further diagnosis work. In this paper, we focus on a novel source number estimation method based on independent component analysis (ICA) and clustering evaluation analysis, and investigate the performances of different dissimilarity measures of ICA-based source number estimations with typical mechanical vibration signals. Our work contributes to find an effective solution of source number estimation for source separation-based machinery condition monitoring and fault diagnosis.
AB - Most of blind source separation problems are carried out with a priori knowledge of the source numbers. However, for source separation-based machinery condition monitoring and fault diagnosis, it is a challenge work to determine the number of sources for a well source separation due to complex structures and nonlinear mixing mode. Therefore, source number estimation is a necessary and important procedure prior to source separation and further diagnosis work. In this paper, we focus on a novel source number estimation method based on independent component analysis (ICA) and clustering evaluation analysis, and investigate the performances of different dissimilarity measures of ICA-based source number estimations with typical mechanical vibration signals. Our work contributes to find an effective solution of source number estimation for source separation-based machinery condition monitoring and fault diagnosis.
UR - https://www.scopus.com/pages/publications/84883062508
U2 - 10.1115/MSEC2012-7340
DO - 10.1115/MSEC2012-7340
M3 - 会议稿件
AN - SCOPUS:84883062508
SN - 9780791854990
T3 - ASME 2012 International Manufacturing Science and Engineering Conference Collocated with the 40th North American Manufacturing Research Conference and in Participation with the Int. Conf., MSEC 2012
SP - 683
EP - 688
BT - ASME 2012 International Manufacturing Science and Engineering Conference Collocated with the 40th North American Manufacturing Research Conf. and in Participation with the Int. Conf., MSEC 2012
T2 - ASME 2012 International Manufacturing Science and Engineering Conference, MSEC 2012 Collocated with the 40th North American Manufacturing Research Conference and in Participation with the International Conference
Y2 - 4 June 2012 through 8 June 2012
ER -