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Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 7, Issue 4, Pages 1,870-1,889, DOI: https://doi.org/10.21307/ijssis-2017-737
License : (CC BY-NC-ND 4.0)
Received Date : 22-August-2014 / Accepted: 02-November-2014 / Published Online: 01-December-2014
Mechanical seal end faces are separated by a thin fluid film. The thickness of this film must
be optimized so as to preventing the serious friction of two end faces and minimizing the fluid leakage.
The micro scope condition monitoring of end face is of importance to ensure mechanical seals
run normally. A method for measuring the film thickness of end faces and detecting the friction of end
faces of mechanical seal has been presented in this paper. Eddy current sensors embedded in the
stationary ring of mechanical seals are used to directly measure the thickness of the liquid-lubricated
film. The Eddy current signal is decomposed by empirical mode decomposition into a series of intrinsic
mode function. The information reflecting the film thickness is obtained by eliminating the false
intrinsic mode function components. Acoustic emission sensor placed on the lateral of stationary ring is used to detect the friction of end faces. In order to decrease the acoustic emission signal’s noise,
wavelet packet and kernel principal component analysis are used to extract the data features. Then
cascaded decision is presented to improve the recognition rate of artificial neural network, by which the
film thickness can be estimated accurately. With a set of tests, the results demonstrate that the method
is effective. It can be widely used to take measurement of the film thickness in industrial field.
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