Novel enhancement techniques for noisy vibration signals applied to local damage detection in rotating machines
Jakub Obuchowski1, Agnieszka Wyłomanska2 and Radosław Zimroz1
1Diagnostics and Vibro-Acoustics
Science Laboratory - Wroclaw University of Technology
2Hugo Steinhaus Center, Institute of
Mathematics and Computer Science
In the paper new enhancement techniques for noisy vibration signals are presented in application to local damage detection in heavy rotating machinery. The methodology is consisted of four steps and utilizes time-frequency analysis, statistical analysis and, finally, filtering of a vibration signal. One of the steps is based on inverse procedure to pre-whitening and allows to indicate transients related to local damage without reference to a signal from a healthy machine of the same type. The last step is an extension of the spectral kurtosis (SK) based filter. It is shown that the novel techniques lead to better local damage detection including rejecting false positives, i.e. incidental impulsive signals that might appear during normal machine operation under industrial conditions. The methodology is illustrated by analyses of both real and simulated data representing vibrations of a heavy rotating machinery operating in mining industry.
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