2022
DOI: 10.1016/j.ymssp.2021.108349
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Identification of different manifestations of nonlinear stick–slip phenomena during creep groan braking noise by using the unsupervised learning algorithms k-means and self-organizing map

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Cited by 23 publications
(15 citation statements)
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“…Further insights towards the bifurcation behavior and classi cation of different creep groan classes were recently given by Prezelj et al (2022), Smith et al (2021) and Huemer-Kals et al (2022). It was found that several different creep groan classes, with different basic frequency or different frequency contents occur, depending on the test setup.…”
Section: Motivationmentioning
confidence: 93%
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“…Further insights towards the bifurcation behavior and classi cation of different creep groan classes were recently given by Prezelj et al (2022), Smith et al (2021) and Huemer-Kals et al (2022). It was found that several different creep groan classes, with different basic frequency or different frequency contents occur, depending on the test setup.…”
Section: Motivationmentioning
confidence: 93%
“…3c. Prezelj et al (2022) found the 1st order frequency of LF and TG2/TG3 groan in a typical range of approx. 18-22 Hz.…”
Section: Motivationmentioning
confidence: 93%
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