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