2013
DOI: 10.1016/j.jsv.2013.02.031
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Application of empirical mode decomposition to a Jeffcott rotor with a breathing crack

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Cited by 79 publications
(37 citation statements)
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“…Thus, Darpe [109,110] used WT to reveal the transient features of the resonant bending vibrations connected with a closing crack. Guo et al [115] developed the methodology for breathing crack detection by using the superharmonic components obtained by empirical mode decomposition method combined with WT spectrum at steady states around the 1/3 and 1/2 of the critical speed. Prabhakar et al [116], Sekhar [117] and Zuo et al [118] used the continuous WT to extract characteristic features from vibration response of a cracked rotor system: the subcritical response peaks are clearly evident from the continuous WT plots, as well as from the vibration spectrum.…”
Section: Methods For Increasing the Sensitivity Of Vibration Diagnosticsmentioning
confidence: 99%
“…Thus, Darpe [109,110] used WT to reveal the transient features of the resonant bending vibrations connected with a closing crack. Guo et al [115] developed the methodology for breathing crack detection by using the superharmonic components obtained by empirical mode decomposition method combined with WT spectrum at steady states around the 1/3 and 1/2 of the critical speed. Prabhakar et al [116], Sekhar [117] and Zuo et al [118] used the continuous WT to extract characteristic features from vibration response of a cracked rotor system: the subcritical response peaks are clearly evident from the continuous WT plots, as well as from the vibration spectrum.…”
Section: Methods For Increasing the Sensitivity Of Vibration Diagnosticsmentioning
confidence: 99%
“…As it is difficult to achieve analytical solution of the complex dynamics equation, the numerical methods was used to solve the problem. And the fourth-order Runge-Kutta method [10] is selected to solve the Eq. (10) to obtain the dynamics response of the supporting rollers.…”
Section: The Simulation Parameters Estimationmentioning
confidence: 99%
“…Moreover, it is considered very expensive in terms of computation time and resources. Despite these drawbacks, EMD and EEMD have been successfully applied for fault diagnosis of various rotating machinery faults [1,6,[25][26][27][28][29][30][31][32][33][34].…”
Section: Introductionmentioning
confidence: 99%