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Weak signal detection based on two dimensional stochastic resonance


Reference:

Barbini, L., Cole, M. O. T., Hillis, A. J. and Du Bois, J. L., 2015. Weak signal detection based on two dimensional stochastic resonance. In: Signal Processing Conference (EUSIPCO), 2015, 2015-08-31 - 2015-09-04. IEEE.

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    Official URL:

    http://10.1109/EUSIPCO.2015.7362764

    Abstract

    The analysis of vibrations from rotating machines gives information about their faults. From the signal processing perspective a significant problem is the detection of weak signals embedded in strong noise. Stochastic resonance (SR) is a mechanism where noise is not suppressed but exploited to trigger the synchronization of a non-linear system and in its one-dimensional form has been recently applied to vibration analysis. This paper focuses on the use of SR in a two-dimensional system of gradient type for detection of weak signals submerged in Gaussian noise. Comparing the traditional one-dimensional system and the two-dimensional used here, this paper shows that the latter can offer a more sensitive means of detection. An alternative metric is proposed to assess the output signal quality, requiring no a priori knowledge of the signal to be detected, and it is shown to offer similar results to the more conventional signal-to-noise ratio.

    Details

    Item Type Conference or Workshop Items (UNSPECIFIED)
    CreatorsBarbini, L., Cole, M. O. T., Hillis, A. J. and Du Bois, J. L.
    DOI10.1109/EUSIPCO.2015.7362764
    DepartmentsFaculty of Engineering & Design > Mechanical Engineering
    Research CentresCentre for Power Transmission & Motion Control
    ?? WIRC ??
    StatusPublished
    ID Code47744

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