Experimental and numerical enhancement of vibrational resonance in neural circuit

Bearing is a key part of rotary machines, and its working condition is critical in normal operation of rotary machines. Vibrational signals are usually analyzed to monitor the status of bearing. However, information on the status of bearing is always buried in heavy background noise; that is, status information of bearing is weaker than the background noise. Extracting the status features of bearing from signals buried in noise is difficult. Given this, a step-varying vibrational resonance (SVVR) method based on Duffing oscillator nonlinear system is proposed to enhance the weak status feature of bearing by tuning different parameters. Extraction ability of SVVR was verified by analyzing simulation signal and practical bearing signal. Experimental results show that SVVR is more effective in extracting weak characteristic information than other methods, including multiscale noise tuning stochastic resonance (SR), Woods-Saxon potential-based SR, and joint Woods-Saxon and Gaussian potential-based SR. Two evaluation indices are investigated to qualitatively and quantitatively assess the fault detection capability of the SVVR method. The results show that the SVVR can effectively identify the weak status information of bearing.

show abstract

“…The output signal is obtained using (17). Each tuned variable then obtains an independent numerical value.…”

Section: (3) Determination Of the Optimal Parameters And Maximum Snrmentioning

confidence: 99%

“…The representative approaches include SR [14][15][16] and vibrational resonance (VR) [17]. The amplification mechanism of SR is described as follows: the energy of a particle in a bistable system is initially too small to allow the particle to move across the potential well.…”

Section: Introductionmentioning

confidence: 99%

Enhanced Bearing Fault Detection Using Step-Varying Vibrational Resonance Based on Duffing Oscillator Nonlinear System

Liu

Dai

et al. 2017

Shock and Vibration

View full text Add to dashboard Cite

show abstract

“…1a. Especially, we focus our interest on the output voltage V which obeys the normalised FitzHugh-Nagumo equations [3]…”

Section: Experimental and Numerical Setupmentioning

confidence: 99%

“…Introduction: Over the past 10 years, the properties of nonlinear circuits have been widely used to implement various processing tasks [1,2]. Owing to the efficiency of neurons to process information, nonlinear circuits inspired by neural systems have attracted considerable interest [1,3]. Indeed, a rich variety of bio-inspired filtering applications has been developed using the paradigm of cellular neural networks.…”

mentioning

confidence: 99%

Ghost stochastic resonance in FitzHugh–Nagumo circuit

2014

Self Cite

View full text Add to dashboard Cite

The response of a neural circuit submitted to a bi-chromatic stimulus and corrupted by noise is investigated. In the presence of noise, when the spike firing of the circuit is analysed, a frequency not present at the circuit input appears. For a given range of noise intensities, it is shown that this ghost frequency is almost exclusively present in the interspike interval distribution. This phenomenon is for the first time shown experimentally in a FitzHugh-Nagumo circuit.

show abstract

“…Beside this SR effect, vibrational resonance (VR) has been introduced and as the ability of a non-linear system to improve its response for an appropriate setting of a high-frequency perturbation instead of noise [9]. Potential applications in detection as well as in bio-inspired devices have been reported [10][11][12]. However, unlike SR, we must admit that VR has not been yet reported in the context of subthreshold image detection.…”

mentioning

confidence: 99%