scholarly journals A Novel Type of Stochastic Resonance Potential Well Model and Its Application

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 160191-160202 ◽  
Author(s):  
Shangbin Jiao ◽  
Shuang Lei ◽  
Wei Jiang ◽  
Qing Zhang ◽  
Weichao Huang
Keyword(s):  
Stochastic Resonance ◽  
Potential Well ◽  
Well Model

Parameter-Induced Stochastic Resonance in Wireless Sensor Network Signal Processing

2010 ◽  
Vol 121-122 ◽  
pp. 646-650
Author(s):  
Zi Kai Zhao ◽  
Guo Hua Hui
Keyword(s):  
Signal Processing ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Stochastic Resonance ◽  
Noise Intensity ◽  
System Parameter ◽  
Wireless Sensor ◽  
Potential Well ◽  
Processing Level ◽  
Well Model

Parameter-induced stochastic resonance (PSR) using double potential well model was focused in this paper. Based on the former stochastic resonance study, system parameter µ was used to explore the resonance characteristics. A bluetooth-based wireless sensor network (WSN) was adopted to obtain the experimental data for parameter-induced stochastic resonance simulating. Under fixed noise intensity range, the changes of system parameter µ led to a systematic output resonance. Simulating results demonstrated that the systematic parameter µ could lead to stochastic resonance at signal processing level.

scholarly journals Positron annihilation in simple condensed gases

1990 ◽  
Vol 68 (12) ◽  
pp. 1362-1376 ◽  
Author(s):  
A. T. Stewart ◽  
C. V. Briscoe ◽  
J. J. Steinbacher
Keyword(s):  
Positron Annihilation ◽  
Reasonable Agreement ◽  
Theoretical Calculations ◽  
Bubble Formation ◽  
The Self ◽  
Correlation Technique ◽  
Potential Well ◽  
Well Model ◽  
Adequate Data ◽  
Solid He

The angular-correlation technique of positron annihilation has been used to detect and measure the localized bubble state of positronium (Ps) in liquid Ne, Ar, Kr, H2, and N2 and in liquid and solid He at various pressures and temperatures. No bubble state was seen in liquid O2 or in solid Ne and Ar. The dynamics of bubble formation is not yet understood. In the cases where theoretical calculations, and adequate data, exist, viz. He, Ar, and H2, there is reasonable agreement for the momentum of the photons from the annihilation of positrons with the outer electrons of these atoms. The Ps annihilations from the self-trapped bubble state are reasonably well described in terms of a simple finite potential-well model.

ON THE FLUCTUATION-RESPONSE RELATION IN GEOPHYSICAL SYSTEMS

2009 ◽  
Vol 23 (28n29) ◽  
pp. 5515-5529 ◽  
Author(s):  
GUGLIELMO LACORATA ◽  
ANDREA PUGLISI ◽  
ANGELO VULPIANI
Keyword(s):  
Dynamical System ◽  
Complex Systems ◽  
Greenhouse Gas ◽  
Climate Dynamics ◽  
Climate Modelling ◽  
Potential Well ◽  
Gas Concentration ◽  
Well Model ◽  
Major Interest ◽  
Lorenz 96

One of the major issues concerning the study of a dynamical system is the response to perturbations. In climate dynamics, for example, it is of major interest to understand how a given variable, e.g., the temperature, is sensitive to alterations of some other component of the system, e.g., the greenhouse gas concentration. We review the connection between equilibrium and non-equilibrium properties, also known as Fluctuation-Relaxation Relation, and its main aspects in chaotic and turbulent systems. We consider, in particular, the effects of the fast variables on the slow variables in a multiscale system, as far as the sensitivity properties are concerned. Two examples about (widely speaking) climate modelling are discussed: the Lorenz-96 model and the double-potential well model. Both of them, despite their apparent simplicity, hide the same kind of interesting features of much more complex systems.

scholarly journals Weak Fault Detection for Rolling Bearings in Varying Working Conditions through the Second-Order Stochastic Resonance Method with Barrier Height Optimization

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Huaitao Shi ◽  
Yangyang Li ◽  
Peng Zhou ◽  
Shenghao Tong ◽  
Liang Guo ◽  
...  
Keyword(s):  
Feature Extraction ◽  
Fault Detection ◽  
Barrier Height ◽  
Stochastic Resonance ◽  
Working Conditions ◽  
Potential Well ◽  
Rolling Bearings ◽  
Input Signals ◽  
Weak Fault ◽  
Fault Feature Extraction

The stochastic resonance (SR) method is widely applied to fault feature extraction of rotary machines, which is capable of improving the weak fault detection performance by energy transformation through the potential well function. The potential well functions are mostly set fixed to reduce computational complexity, and the SR methods with fixed potential well parameters have better performances in stable working conditions. When the fault frequency changes in variable working conditions, the signal processing effect becomes different with fixed parameters, leading to errors in fault detection. In this paper, an underdamped second-order adaptive general variable-scale stochastic resonance (USAGVSR) method with potential well parameters’ optimization is put forward. For input signals with different fault frequencies, the potential well parameters related to the barrier height are figured out and optimized through the ant colony algorithm. On this basis, further optimization is carried out on undamped factor and step size for better fault detection performance. Cases with diverse fault types and in different working conditions are studied, and the performance of the proposed method is validated through experiments. The results testify that this method has better performances of weak fault feature extraction and can accurately identify different fault types in the input signals. The method proves to be effective in the weak fault extraction and classification and has a good application prospect in rolling bearings’ fault feature recognition.

scholarly journals Fluctuation effects of thermodynamic variables in particle-spilling-from-well model with single potential well

2014 ◽  
Vol 63 (19) ◽  
pp. 193601
Author(s):  
Zhang Xue-Jun ◽  
Rao Jian ◽  
Deng Yang-Bao ◽  
Jiang Lian-jun ◽  
Tian Ye
Keyword(s):  
Potential Well ◽  
Well Model ◽  
Fluctuation Effects ◽  
Thermodynamic Variables ◽  
Single Potential

Impact signal detection and recovery based on the novel potential well model

2021 ◽  
Author(s):  
Shangbin Jiao ◽  
Qing Zhang ◽  
Shuang Lei ◽  
Ding Xin Zhang ◽  
Qing Wang
Keyword(s):  
Signal Detection ◽  
The Novel ◽  
Potential Well ◽  
Well Model
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