2018
DOI: 10.1177/1077546318771804
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Remarks on the Sommerfeld effect characterization in the wavelet domain

Abstract: In many applications in engineering, a mechanical system operates in the nonstationary regime, either partially of fully, creating the possibility to generate nonlinearities in them. Great efforts have been made to better understand and characterize these phenomena. One of several methods that are being used for the processing of signals of a nonstationary nature, as well as for the characterization of nonlinearities in mechanical systems, is the wavelet transform. A particular phenomenon that is seen in syste… Show more

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Cited by 21 publications
(15 citation statements)
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“…In the signal processing, the Morlet wavelet filter was used for the CWT ans SWT, while for the STFT one Hamming window with 128 points length for analysis. A detailed description of the mechanical system and DC motor proprieties can be found in [5].…”
Section: Mechanical Systemmentioning
confidence: 99%
See 2 more Smart Citations
“…In the signal processing, the Morlet wavelet filter was used for the CWT ans SWT, while for the STFT one Hamming window with 128 points length for analysis. A detailed description of the mechanical system and DC motor proprieties can be found in [5].…”
Section: Mechanical Systemmentioning
confidence: 99%
“…The use of CWT presents a good resolution in the time-frequency plane, but the CWT may obfuscate other components when there is a high concentration of energy at some frequency. The success of this analysis depends on the choice of the wavelet filter, as shown in [5,14]. The results obtained through the use of SWT proved to be more suitable for analysis, presenting excellent time-frequency resolution and small energy dispersion.…”
Section: Final Remarksmentioning
confidence: 99%
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“…The Sommerfeld effect is a serious problem faced by designers, and it can lead to catastrophic failures due to the high stresses generated by the amplitude increase, which may take values that, due to the modeling procedure followed, may not have been predicted. Some papers that address the Sommerfeld effect in various systems are given by references [7,[14][15][16][17]. Hu et al [18] present a case study on a wind turbine system.…”
Section: Introductionmentioning
confidence: 99%
“…As for the CWT, it allows good resolution in time-frequency spectrum, but higher energy frequencies can blur other frequency components. Also, the analysis based on the CWT is sensitive to the wavelet filter used, as shown by Varanis et al [14] and Varanis and Pederiva [29].…”
Section: Introductionmentioning
confidence: 99%