Hybrid tri-stable stochastic resonance system used&nbsp;&nbsp; for fault signal detection

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Journal of Vibration and Shock ›› 2019, Vol. 38 ›› Issue (18) : 9-17.

Hybrid tri-stable stochastic resonance system used for fault signal detection

ZHANG Gang12 LI Hongwei1

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Abstract

Aiming at the problem that fault feature signals are often submerged in noise so that difficult to extract, a hybrid tri-stable stochastic resonance system, combining the Woods-Saxon monostable model with the hybrid bistable model was proposed.The system not only retains the advantages of Woods-Saxon’s easiness to detect fault signals but also takes advantage of the high noise utilization characteristic of the tri-stable model.First, the signal-to-noise gain was used as a measure to create an adaptive algorithm for finding the optimal system parameters.Then, harmonic vibration signals, amplitude modulation signals and periodic pulse attenuation signals were detected under the background of α noise.Finally, a signal detection approach using the variational mode decomposition combined with the hybrid tri-stable model was put forward and applied to the actual bearing faults detection.The simulation results show that the hybrid tri-stable stochastic resonance model and the composed model can achieve clear and reliable test results and superior performances in fault signal detection.

Key words

woods-saxon monostable / hybrid bistable / hybrid tri-stable；signal-to-noise gain / variational model decomposition;

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ZHANG Gang12 LI Hongwei1. Hybrid tri-stable stochastic resonance system used for fault signal detection[J]. Journal of Vibration and Shock, 2019, 38(18): 9-17

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