2015
DOI: 10.1016/j.triboint.2015.02.027
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The nonlinear nature of friction coefficient in lubricated sliding friction

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Cited by 33 publications
(7 citation statements)
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“…The projection of multidimensional phase-space matrix was carried out using the method of principal component analysis (PCA). Often, the phase-trajectory of friction-induced signals were generally described using statistical measures, including correlation dimension, Lyapunov exponent (Ding et al, 2018) and K 2 entropy (Zhou et al, 2015). Recently, brand new parameters have also been introduced to characterize the tribosystem Sun and Zhu, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…The projection of multidimensional phase-space matrix was carried out using the method of principal component analysis (PCA). Often, the phase-trajectory of friction-induced signals were generally described using statistical measures, including correlation dimension, Lyapunov exponent (Ding et al, 2018) and K 2 entropy (Zhou et al, 2015). Recently, brand new parameters have also been introduced to characterize the tribosystem Sun and Zhu, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…Friction coefficient was monitored as a function of time and wear of contact surface was determined after the test by means of topography analysis. Zhou et al [19] studied friction coefficient within the lubricated sliding friction. The power spectrum, twoorder Renyi entropy were used to detect the nature of friction coefficient.…”
Section: Introductionmentioning
confidence: 99%
“…In recent decades, the hydrodynamic response of a journal bearing with cavitation has been studied by many researchers, both analytically and experimentally (Sharma and Pandey, 2006; Cheng and Jiang, 2014; Wang and Xing, 2015; Zhou et al , 2015b; Dhande et al , 2018). Knight and Ghadimi (1992, 2001) conducted the hydrodynamic lubrication analysis of a journal bearing by an experiment.…”
Section: Introductionmentioning
confidence: 99%