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

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Investigations of denoising source separation technique and its application to source separation and identification of mechanical vibration signals

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dc.contributor.author Cheng, Wei ko
dc.contributor.author Zhang, Zhousuo ko
dc.contributor.author Lee, Seungchul ko
dc.contributor.author He, Zhengjia ko
dc.date.available 2014-11-07T04:12:23Z -
dc.date.created 2014-11-06 ko
dc.date.issued 2014-10 -
dc.identifier.citation JOURNAL OF VIBRATION AND CONTROL, v.20, no.14, pp.2100 - 2117 ko
dc.identifier.issn 1077-5463 ko
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/8389 -
dc.description.abstract A novel vibration source separation and identification method using the denoising source separation (DSS) technique is proposed for the mixed mechanical vibration signals from engines in ships. Denoising source separation enables us to extract the source signals from the mixed signals without prior knowledge of sources and their mixing mode, and thus the important source information extracted by DSS can be used to monitor or actively control engine noises. Different denoising functions such as energy, skew, kurtosis, and tangential functions in DSS are applied to both simulation studies and experimental data to evaluate their separating performances. The tangential function provides the best outperformance with both numerical study and engineering application. In addition, the effectiveness of the proposed DSS method is validated by correlation analysis and the frequency marker tracking method. ko
dc.description.statementofresponsibility close -
dc.language ENG ko
dc.publisher SAGE PUBLICATIONS LTD ko
dc.subject Correlation analysis ko
dc.subject denoising source separation ko
dc.subject marker tracking ko
dc.subject source identification ko
dc.subject vibration monitoring and control ko
dc.title Investigations of denoising source separation technique and its application to source separation and identification of mechanical vibration signals ko
dc.type ARTICLE ko
dc.identifier.scopusid 2-s2.0-84899618397 ko
dc.identifier.wosid 000342631700003 ko
dc.type.rims ART ko
dc.description.wostc 0 *
dc.date.tcdate 2015-05-06 *
dc.identifier.doi 10.1177/1077546313483789 ko
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