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On the use of stochastic resonance for fault detection in spur gearboxes

Mba C. U., Marchesiello S., Fasana A., Garibaldi L.

Diagnostyka

2017

Vol. 18, No. 3

3--13

This study demonstrates how a time domain data based non-linear approach known as Stochastic Resonance (SR) can be effectively used for fault detection in spur gearboxes. SR has just been used recently for fault diagnosis in mechanical systems with a focus on faulty systems. This paper examines the behaviour of SR when it is applied to healthy systems, in particular a healthy gearbox and explores approaches like residual signal and filtered signal computations to aid in the containment of false alarms while improving overall results. Although SR is a time domain procedure, its results also extend to the frequency domain.

Bat optimization based neuron model of stochastic resonance for the enhancement of MR images

Singh M., Verma A., Sharma N.

Biocybernetics and Biomedical Engineering

2017

Vol. 37, no. 1

124--134

Stochastic resonance (SR) performs the enhancement of the low in contrast image with the help of noise. The present paper proposes a modified neuron model based stochastic resonance approach applied for the enhancement of T1 weighted, T2 weighted, fluid-attenuated inversion recovery (FLAIR) and diffusion-weighted imaging (DWI) sequences of magnetic resonance imaging. Multi objective bat algorithm has been applied to tune the parameters of the modified neuron model for the maximization of two competitive image performance indices contrast enhancement factor (F) and mean opinion score (MOS). The quality of processed image depends on the choice of these image performance indices rather the selection of SR parameters. The proposed approach performs well on enhancement of magnetic resonance (MR) images, as a result there is improvement in the gray-white matter differentiation and has been found helpful in the better diagnosis of MR images.

Stochtyczny rezonans przejściowy konstrukcji wzbudzanej maszyną wirową

Śniady P., Sieniawska R., Żukowski S.

Zeszyty Naukowe Politechniki Rzeszowskiej. Mechanika

1999

z. 52 [174]

233-238

The problem of the transient resonance in the stochastic formulation has been considered. After introducing new variables and applying the Ito differentiation formula a set or differential equations for finding the probabilistic moments of the system response have been obtained. The approach is illustrated by calculating the probabilistic moments of the displacements of concrete foundation excited by a vibrating machine.