MATEC Web Conf.
Volume 77, 20162016 3rd International Conference on Mechanics and Mechatronics Research (ICMMR 2016)
|Number of page(s)||4|
|Section||Design and Study on Machinery|
|Published online||03 October 2016|
- Y. Lv, Q. L Zhu, and R. Yuan. Fault diagnosis of rolling bearing based on fast non-local means and envelope spectrum. Sensors. 15(1):1182–1198, (2015)
- Y. Ming, J. Chen, G.M. Dong. Weak fault extraction of rolling bearing based on cyclic Wiener filter and envelope spectrum. Mechanical Systems and Signal Processing, 25, 1773–1785, (2011) [CrossRef]
- M. Liang, I. Soltani Bozchalooi. An energy operator approach to joint application of amplitude and frequency demodulations for rolling bearing fault detection. Mechanical Systems and Signal Processing, 24：1473–1494, (2010). [CrossRef]
- D. Yu, J. Cheng, and Y. Yang, Application of EMD method and Hilbert spectrum to the fault diagnosis of roller bearings. Mech.Syst. Signal Process, 19(2), 259–270, (2005) [CrossRef]
- J. Antoni, R. B. Randall, The spectral kurtosis: a useful tool for characterizing none-stationary signals. Mechanical Systems and Signals Processing, 20(2):282–307, (2006) [CrossRef]
- J. Antoni, R. B. Randall, The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machines. Mechanical Systems and Signal Processing, this issue, doi:10.1016/j.ymssp.2004.09.001
- J. Aotoni, F. Bonnardot, A. Raad, M. ElBadaoui. Cyclostationary modeling of rotating machine vibration signals. Mechanical System and Signal Processing 18(6) 1285–1314, (2004) [CrossRef]
- J. Antoni, Fast computation of the Kurtogram for the detection of transient faults. Mechanical Systems and Signals Processing, 21(1):108–124, (2007). [CrossRef]
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