Mechanical Seal Condition Monitoring Technology Research

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Abstract:

Since the measurement of mechanical seals film thickness is difficult, the condition monitoring method based on empirical mode decomposition (EMD) is proposed. EMD is a time-frequency analysis method. It is adaptive and does not need predefined decomposition basis function. The AE signal is decomposed into a series of Intrinsic mode function (IMF) with independent characteristics of different time scales and different frequency band. It is realized that the mechanical seal contact status is accurately identified through extracting the feature of correlation coefficient which is calculated between original AE signal and multi-scale Laplace wavelet.

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344-348

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June 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Sun Jianjun, Wei Long and Gu Boqing: The development course and the research trend of mechanical seal. Lubrication Engineering Vol. 4(2004), pp.128-131+134.

Google Scholar

[2] Wang Xiaowei: Based on the AE technology of rotating mechanical rubbing fault diagnosis research(Harbin institute of technology, Harbin2009).

Google Scholar

[3] Shen Gongtian, Geng Rongsheng, Liu Shifeng: The parameters of AE signal analysis method. Nodestructive Testing Vol. 2 (2002), pp.28-33.

Google Scholar

[4] I. ETSION: Ideas and Tendencies in Future Mechanical Seal Development. Lubrication Engineering Vol. 46(1990), pp.122-125.

Google Scholar

[5] Huang Tao, Deng Yonggang, Li Pinghua: AE testing technology in the application of high pressure manifold valve sealing machine testing. Value Engineering Vol. 21 (2012), pp.46-47.

Google Scholar

[6] Cai Yanping, Li Aihua, Wang Tao: Based on the EMD - Wigner Ville - internal combustion engine vibration time-frequency analysis. Journal of Vibration Engineering Vol. 4 (2010), pp.430-437.

Google Scholar

[7] Xu Dong: Ball bearing fatigue residual life analysis and the forecast method research(National University of Defense Technology, Chang Sha 2011).

Google Scholar