Identification of Instantaneous Frequency and Damping From Transient Decay Data

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dc.citation.articleNumber051111en_US
dc.citation.issueNumber5en_US
dc.citation.journalTitleJournal of Vibration and Acousticsen_US
dc.citation.volumeNumber142en_US
dc.contributor.authorJin, Mengshien_US
dc.contributor.authorChen, Weien_US
dc.contributor.authorBrake, Matthew R.W.en_US
dc.contributor.authorSong, Hanwenen_US
dc.date.accessioned2020-12-11T20:22:01Zen_US
dc.date.available2020-12-11T20:22:01Zen_US
dc.date.issued2020en_US
dc.description.abstractJointed interfaces, damage, wear, or non-idealized boundary conditions often introduce nonlinear characteristics to assembled structures. Consequently, extensive research has been carried out regarding nonlinear system identification. The development of nonlinear system identification is also enabling the intentional application of nonlinearities towards practical fields such as vibration control and energy harvesting. This research proposes a nonlinear identification procedure that consists of two steps: first, the raw data is filtered by the Double Reverse Multimodal Decomposition method that involves system reconstruction, expansion, and filtering twice. Second, the Peak Finding and Fitting method is applied to the filtered signal to extract the instantaneous amplitude and frequency. The identification procedure is applied to the measured responses from a jointed structure to assess its efficacy. The results are compared with those obtained from other well-known methods—the Hilbert transform and zero-crossing methods. The comparison results indicate that the Peaking Finding and Fitting method extracts the amplitude of the response signal more accurately. Consequently, this yields a higher signal-to-noise ratio in the extracted damping values. As a recommended last step, uncertainty assessment is conducted to calculate the 95% confidence intervals of the nonlinear properties of the system.en_US
dc.identifier.citationJin, Mengshi, Chen, Wei, Brake, Matthew R.W., et al.. "Identification of Instantaneous Frequency and Damping From Transient Decay Data." <i>Journal of Vibration and Acoustics,</i> 142, no. 5 (2020) ASME: https://doi.org/10.1115/1.4047416.en_US
dc.identifier.doihttps://doi.org/10.1115/1.4047416en_US
dc.identifier.urihttps://hdl.handle.net/1911/109675en_US
dc.language.isoengen_US
dc.publisherASMEen_US
dc.rightsThis is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by ASME.en_US
dc.subject.keywordnonlinear system identificationen_US
dc.subject.keywordmultimodal decompositionen_US
dc.subject.keywordinstantaneous amplitude and frequencyen_US
dc.subject.keywordbackboneen_US
dc.titleIdentification of Instantaneous Frequency and Damping From Transient Decay Dataen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpost-printen_US
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