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최영철(Choi, Young-Chul),김양한(Kim, Yang-Hann),고을석(Ko, Eul-seok),박춘수(Park, Choon-Su) 한국소음진동공학회 2004 한국소음진동공학회 논문집 Vol.14 No.12
Hub bearings not only sustain the body of a cat, 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, nitration 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.