文件名称:pint_2014_Applied-Acoustics
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The main problem in dustrial application of bearing vibration diagnostics is the masking of informative
bearing signal by machine noise. The vibration signal of the rolling bearing is often covered or concealed
by other structural vibrations sources, such as gears. Although a number of vibration diagnostic
techniques have been developed over the last several years, in many cases these methods are quite complicated
in use or only effective at later stages of damage development. This paper presents an EMD-based
rolling bearing diagnosing method that shows potential for bearing damage detection at a much earlier
stage of damage development
-The main problem in industrial application of bearing vibration diagnostics is the masking of informative
bearing signal by machine noise. The vibration signal of the rolling bearing is often covered or concealed
by other structural vibrations sources, such as gears. Although a number of vibration diagnostic
techniques have been developed over the last several years, in many cases these methods are quite complicated
in use or only effective at later stages of damage development. This paper presents an EMD-based
rolling bearing diagnosing method that shows potential for bearing damage detection at a much earlier
stage of damage development
bearing signal by machine noise. The vibration signal of the rolling bearing is often covered or concealed
by other structural vibrations sources, such as gears. Although a number of vibration diagnostic
techniques have been developed over the last several years, in many cases these methods are quite complicated
in use or only effective at later stages of damage development. This paper presents an EMD-based
rolling bearing diagnosing method that shows potential for bearing damage detection at a much earlier
stage of damage development
-The main problem in industrial application of bearing vibration diagnostics is the masking of informative
bearing signal by machine noise. The vibration signal of the rolling bearing is often covered or concealed
by other structural vibrations sources, such as gears. Although a number of vibration diagnostic
techniques have been developed over the last several years, in many cases these methods are quite complicated
in use or only effective at later stages of damage development. This paper presents an EMD-based
rolling bearing diagnosing method that shows potential for bearing damage detection at a much earlier
stage of damage development
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pint_2014_Applied Acoustics.pdf