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Lee, Seungchul
iSystems Design Lab
Research Interests
  • Intelligent design for products and manufacturing systems


Independent component analysis based source number estimation and its comparison for mechanical systems

DC Field Value Language Cheng, Wei ko Lee, Seungchul ko Zhang, Zhousuo ko He, Zhengjia ko 2014-11-07T04:12:30Z - 2014-11-06 ko 2012-11 -
dc.identifier.citation JOURNAL OF SOUND AND VIBRATION, v.331, no.23, pp.5153 - 5167 ko
dc.identifier.issn 0022-460X ko
dc.identifier.uri -
dc.identifier.uri ko
dc.description.abstract It has been challenging to correctly separate the mixed signals into source components when the source number is not known a priori. In this paper, we propose a novel source number estimation based on independent component analysis (ICA) and clustering evaluation analysis. We investigate and benchmark three information based source number estimations: Akaike information criterion (AIC), minimum description length (MDL) and improved Bayesian information criterion (IBIC). All the above methods are comparatively studied in both numerical and experimental case studies with typical mechanical signals. The results demonstrate that the proposed. ICA based source number estimation with nonlinear dissimilarity measures performs more stable and robust than the information based ones for mechanical systems. ko
dc.description.statementofresponsibility close -
dc.language ENG ko
dc.subject Akaike information criterion ko
dc.subject Bayesian information criterion ko
dc.subject Clustering evaluation ko
dc.subject Dissimilarity measures ko
dc.subject Mechanical signals ko
dc.subject Mechanical systems ko
dc.subject Minimum description length ko
dc.subject Mixed signal ko
dc.subject Source number estimation ko
dc.title Independent component analysis based source number estimation and its comparison for mechanical systems ko
dc.type ARTICLE ko
dc.identifier.scopusid 2-s2.0-84864971737 ko
dc.identifier.wosid 000308383000012 ko
dc.type.rims ART ko
dc.description.wostc 8 * 2015-05-06 *
dc.identifier.doi 10.1016/j.jsv.2012.06.021 ko
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