An empirical re-sampling method on intrinsic mode function to deal with speed variation in machine fault diagnostics

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dc.contributor.author Wang, K.S.
dc.contributor.author Heyns, P.S. (Philippus Stephanus)
dc.date.accessioned 2011-12-06T07:33:57Z
dc.date.available 2011-12-06T07:33:57Z
dc.date.issued 2011-12
dc.description.abstract To implement traditional order tracking in practice requires rotational speed information. However, it may be difficult in some cases to mount an appropriate monitoring device to obtain reliable speed information. In this paper, a novel empirical re-sampling of intrinsic mode functions obtained from empirical mode decomposition is explored, so that the approximation of order tracking effects without rotational speed is possible. The newly introduced intrinsic cycle concept in the intrinsic mode function simplifies linking of the resultant spectra to signal variations, and is therefore beneficial for condition monitoring of rotating machines. In the paper the rationale behind the technique is first explained. Secondly, the effectiveness of the technique is demonstrated on a dynamic gear simulation model. Lastly, the technique is applied to experimental data from a gearbox test rig. Both the simulation and experimental studies corroborate the usefulness of the proposed technique. en_US
dc.description.uri http://www.elsevier.com/locate/asoc en_US
dc.identifier.citation Wang, KS & Heyns, PS 2011, 'An empirical re-sampling method on intrinsic mode function to deal with speed variation in machine fault diagnostics', Applied Soft Computing Journal, vol. 11, no. 8, pp. 5015-5027. en_US
dc.identifier.issn 1568-4946 (print)
dc.identifier.issn 1872-9681 (online)
dc.identifier.other 10.1016/j.asoc.2011.05.056
dc.identifier.uri http://hdl.handle.net/2263/17691
dc.language.iso en en_US
dc.publisher Elsevier B.V. en_US
dc.rights © 2011 Elsevier B.V. All rights reserved. en_US
dc.subject Re-sampling en_US
dc.subject Rotating machinery en_US
dc.subject Rotational speed en_US
dc.subject Empirical mode decomposition (EMD) en_US
dc.subject Intrinsic mode function (IMF) en_US
dc.subject Order tracking en_US
dc.subject.lcsh Fault location (Engineering) en
dc.subject.lcsh Gearing en
dc.subject.lcsh Rotational motion en
dc.subject.lcsh Speed en
dc.subject.lcsh Machinery, Kinematics of en
dc.subject.lcsh Hilbert-Huang transform en
dc.title An empirical re-sampling method on intrinsic mode function to deal with speed variation in machine fault diagnostics en_US
dc.type Postprint Article en_US


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