Fault diagnosis of rolling bearing based on empirical mode decomposition and improved manhattan distance in symmetrized dot pattern image
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DOI: 10.1016/j.ymssp.2021.107817
Abstract: Abstract The vibration signal of rolling bearing is typical non-stationary signal, it is difficult for traditional time–frequency analysis technology to apply. Therefore, a novel fault diagnosis approach based on improved manhattan distance in Symmetrized Dot… read more here.
Keywords: improved manhattan; rolling bearing; manhattan distance; fault diagnosis ... See more keywords