ISSN:
1013-9826
Source:
Scientific.Net: Materials Science & Technology / Trans Tech Publications Archiv 1984-2008
Topics:
Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
Notes:
Impulse response provides important information about flaws in mechanical system.Deconvolution is one system identification technique for fault detection when signals captured frombearings with and without flaw are both available. However effects of measurement systems andnoise are obstacles to the technique. In the present study, a model, namely autoregressive-movingaverage (ARMA), is used to estimate vibration pattern of rolling element bearings for faultdetection. The frequently used ARMA estimator cannot characterize non-Gaussian noisecompletely. Aimed at circumventing the inefficiency of the second-order statistics-based ARMAestimator, higher-order statistics (HOS) was introduced to ARMA estimator, which eliminates theeffect of noise greatly and, therefore, offers more accurate estimation of the system. Furthermore,bispectrums of the estimated HOS-based ARMA models were subsequently applied to get clearerinformation. Impulse responses of signals captured from the test bearings without and with flawsand their bispectra were compared for the purpose of fault detection. The results demonstrated theexcellent capability of this method in vibration signal processing and fault detection
Type of Medium:
Electronic Resource
URL:
http://www.tib-hannover.de/fulltexts/2011/0528/01/54/transtech_doi~10.4028%252Fwww.scientific.net%252FKEM.347.271.pdf
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