DC Field | Value | Language |
---|---|---|
dc.contributor.author | 박춘수 | - |
dc.contributor.author | 최영철 | - |
dc.contributor.author | 김양한 | - |
dc.contributor.author | 고을석 | - |
dc.date.accessioned | 2013-03-18T20:03:01Z | - |
dc.date.available | 2013-03-18T20:03:01Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2004-05 | - |
dc.identifier.citation | 2004년도 춘계학술대회, v., no., pp.593 - 596 | - |
dc.identifier.uri | http://hdl.handle.net/10203/151980 | - |
dc.description.abstract | Hub bearings not only sustain the body of a car, but permit wheels to rotate freely. Excessive radial or axial load and many other reasons can cause defects to be created and grown in each component. Therefore, vibration and noise from unwanted defects in outer-race, inner-race or ball elements of a Hub bearing are what we want to detect as early as possible. How early we can detect the faults has to do with how the detection algorithm finds the fault information from measured signal. Fortunately, the bearing signal has periodic impulse train. This information allows us to find the faults regardless how much noise contaminates the signal. This paper shows the basic signal processing idea and experimental results that demonstrate how good the method is. | - |
dc.language | KOR | - |
dc.publisher | 한국소음진동공학회 | - |
dc.title | 최소 분산 켑스트럼을 이용한 자동차 허브 베어링 결함 검출 | - |
dc.title.alternative | Faults Detection in Hub Bearing with Minimum Variance Cepstrum | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 593 | - |
dc.citation.endingpage | 596 | - |
dc.citation.publicationname | 2004년도 춘계학술대회 | - |
dc.identifier.conferencecountry | South Korea | - |
dc.identifier.conferencecountry | South Korea | - |
dc.contributor.localauthor | 김양한 | - |
dc.contributor.nonIdAuthor | 박춘수 | - |
dc.contributor.nonIdAuthor | 최영철 | - |
dc.contributor.nonIdAuthor | 고을석 | - |
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