최소 분산 켑스트럼을 이용한 자동차 허브 베어링 결함 검출Faults Detection in Hub Bearing with Minimum Variance Cepstrum

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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.
Publisher
한국소음진동공학회
Issue Date
2004-05
Language
KOR
Citation

2004년도 춘계학술대회, pp.593 - 596

URI
http://hdl.handle.net/10203/151980
Appears in Collection
ME-Conference Papers(학술회의논문)
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