Weak signal detection based on two dimensional stochastic resonance

Leonardo Barbini, Matthew O. T. Cole, Andrew J. Hillis, Jonathan L. Du Bois

Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 3 Citations

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.
LanguageEnglish
Title of host publicationProceedings of the 23rd European Signal Processing Conference, 2015
PublisherIEEE
ISBN (Print)9780992862633
DOIs
StatusPublished - 2015
EventSignal Processing Conference (EUSIPCO), 2015 - Nice, Italy
Duration: 31 Aug 20154 Sep 2015

Conference

ConferenceSignal Processing Conference (EUSIPCO), 2015
CountryItaly
CityNice
Period31/08/154/09/15

Fingerprint

signal detection
vibration
random noise
nonlinear systems
signal processing
synchronism
signal to noise ratios
actuators
gradients
output

Cite this

Barbini, L., Cole, M. O. T., Hillis, A. J., & Du Bois, J. L. (2015). Weak signal detection based on two dimensional stochastic resonance. In Proceedings of the 23rd European Signal Processing Conference, 2015 IEEE. DOI: 10.1109/EUSIPCO.2015.7362764

Weak signal detection based on two dimensional stochastic resonance. / Barbini, Leonardo; Cole, Matthew O. T.; Hillis, Andrew J.; Du Bois, Jonathan L.

Proceedings of the 23rd European Signal Processing Conference, 2015. IEEE, 2015.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Barbini, L, Cole, MOT, Hillis, AJ & Du Bois, JL 2015, Weak signal detection based on two dimensional stochastic resonance. in Proceedings of the 23rd European Signal Processing Conference, 2015. IEEE, Signal Processing Conference (EUSIPCO), 2015, Nice, Italy, 31/08/15. DOI: 10.1109/EUSIPCO.2015.7362764
Barbini L, Cole MOT, Hillis AJ, Du Bois JL. Weak signal detection based on two dimensional stochastic resonance. In Proceedings of the 23rd European Signal Processing Conference, 2015. IEEE. 2015. Available from, DOI: 10.1109/EUSIPCO.2015.7362764
Barbini, Leonardo ; Cole, Matthew O. T. ; Hillis, Andrew J. ; Du Bois, Jonathan L./ Weak signal detection based on two dimensional stochastic resonance. Proceedings of the 23rd European Signal Processing Conference, 2015. IEEE, 2015.
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