Determination of the Condition of Road Coverings by Acoustic Noise Data

2021 ◽  
pp. 1-4
Author(s):  
K. V. Fedin ◽  
Yu. I. Kolesnikov ◽  
L. Ngomayezwe
Keyword(s):  
Acoustic Noise ◽  
Noise Data

scholarly journals Experimental assessment of multiple contact wear using airborne noise under dry and lubricated conditions

2017 ◽  
Vol 231 (12) ◽  
pp. 1503-1516 ◽  
Author(s):  
MA Khan ◽  
Kanza Basit ◽  
SZ Khan ◽  
KA Khan ◽  
AG Starr
Keyword(s):  
Wear Area ◽  
Contact Conditions ◽  
Noise Parameters ◽  
Recorded Sound ◽  
Airborne Noise ◽  
Pin On Disc ◽  
Noise Data ◽  
Wear Damage

The generation of wear and airborne noise is inevitable in the mechanical contacts of the machine components. This paper addresses the effectiveness of the airborne noise data in estimating the wear on a disc under multi-contact conditions. A pin-on-disc rig was employed to study the role of noise parameters on the evolution of the wear area. When a pin slides on the disc, the airborne noise is generated and subsequently a sound signal is obtained. These signals, for various sets of experiments, were recorded using a digital microphone. A Matlab code was developed and employed to estimate the noise parameters from the recorded sound. Noise parameters including values of voltage RMS, noise counts and amplitudes of dominant frequencies were used to analyse the variation in the disc wear at different time intervals. These parameters were found to be effective in the determination of the wear damage evaluation under different loads without lubrication.

scholarly journals DETERMINATION OF ICE COVER THICKNESS USING ACOUSTIC NOISE

2019 ◽  
Vol 2 (2) ◽  
pp. 187-194
Author(s):  
Konstantin Fedin ◽  
Yury Kolesnikov
Keyword(s):  
Field Experiments ◽  
Acoustic Noise ◽  
Standing Waves ◽  
Ice Cover ◽  
Frozen Soil ◽  
Water Bodies ◽  
Ice Surface ◽  
Cover Thickness

The results of field experiments aimed at assessing the possibilities of determining the thickness of the ice cover of water bodies using acoustic noise recorded on the ice surface are presented. It is shown that the frequencies of vertical compressional standing waves generated by acoustic noise in the ice layer can be used for determining the thickness of the ice cover and the type of underlying medium (water or frozen soil).

Determination of Thermal Parameters via a Homotopy Algorithm

2011 ◽  
Vol 287-290 ◽  
pp. 2452-2455
Author(s):  
Qi Wen Xue ◽  
Xiu Yun Du
Keyword(s):  
Heat Conduction Problem ◽  
Transient Heat Conduction ◽  
Element Model ◽  
Initial Guess ◽  
Thermal Parameters ◽  
Mass Concrete ◽  
Time Stepping ◽  
Transient Heat Conduction Problem ◽  
Noise Data

In order to determine thermal parameters of mass concrete, this paper utilizes homotopy technique to solve an inverse transient heat conduction problem with multi-variables. A finite element model facilitating to sensitivity analysis for non-linear direct and inverse problems is derived, and a precise algorithm of time stepping is used in the transient analysis. Numerical validation has been given with an investigation of effects of noise data and initial guess on the results.

MEASUREMENT AND SIMULATION FOR WIND NOISES IN THE OCEAN ENVIRONMENTS WITH NONLINEAR INTERNAL WAVES

2008 ◽  
Vol 16 (02) ◽  
pp. 163-176 ◽  
Author(s):  
HSIANG-CHIH CHAN ◽  
RUEY-CHANG WEI ◽  
CHI-FANG CHEN
Keyword(s):  
Internal Waves ◽  
Sound Speed ◽  
Environmental Changes ◽  
Acoustic Noise ◽  
Propagation Model ◽  
Wind Noise ◽  
Nonlinear Internal Waves ◽  
Line Array ◽  
Noise Data ◽  
Water Temperature Data

This study obtains wind noise variations by experimental data and simulated results to describe meteorological and oceanic effects. The ambient noise data were measured by a vertical line array in the 2001 ASIAEX South China Sea experiment. An acoustic propagation model is used in noise modeling for calculating the sound pressure of noises at receiving sites, including the effects of ocean environmental changes, bottom interactions, and noise fluctuations at different depths. Both range-independent and range-dependent sound speed profiles are generated with in-situ water temperature data. Results show fluctuating noise levels with variations in ocean environments. But the fluctuations are small such that only weak correlation exists in the acoustic noise data and ocean data. Results also indicate that using range-independent sound speed profiles can simulate noise field in range-dependent ocean environments with nonlinear internal waves for shallow regions with flat bottoms.

scholarly journals Detection of invisible cracks in ceramic materials using by pre-trained deep convolutional neural network

2021 ◽  
Author(s):  
Hidir Selcuk Nogay ◽  
Tahir Cetin Akinci ◽  
Musa Yilmaz
Keyword(s):  
Deep Learning ◽  
Crack Detection ◽  
Acoustic Noise ◽  
Ceramic Materials ◽  
Learning Model ◽  
Ceramic Plate ◽  
Data Set ◽  
Model Based ◽  
Noise Data ◽  
Deep Learning Model

AbstractCeramic materials are an indispensable part of our lives. Today, ceramic materials are mainly used in construction and kitchenware production. The fact that some deformations cannot be seen with the naked eye in the ceramic industry leads to a loss of time in the detection of deformations in the products. Delays that may occur in the elimination of deformations and in the planning of the production process cause the products with deformation to be excessive, which adversely affects the quality. In this study, a deep learning model based on acoustic noise data and transfer learning techniques was designed to detect cracks in ceramic plates. In order to create a data set, noise curves were obtained by applying the same magnitude impact to the ceramic experiment plates by impact pendulum. For experimental application, ceramic plates with three invisible cracks and one undamaged ceramic plate were used. The deep learning model was trained and tested for crack detection in ceramic plates by the data set obtained from the noise graphs. As a result, 99.50% accuracy was achieved with the deep learning model based on acoustic noise.

Acoustic insulation properties of selected African wood species: padouk, bubinga, sapele

2019 ◽  
Vol 107 ◽  
pp. 4-12
Author(s):  
PAWEŁ KOZAKIEWICZ ◽  
AGNIESZKA LASKOWSKA ◽  
ROBERT BRZOZOWSKI ◽  
MARCIN ZBIEĆ
Keyword(s):  
Wood Species ◽  
Dynamic Modulus ◽  
Acoustic Noise ◽  
Sound Intensity ◽  
Sound Insulation ◽  
Frequency Range ◽  
Acoustic Insulation ◽  
Acoustic Chamber ◽  
The Impact

Acoustic insulation properties of selected African wood species: padouk, bubinga, sapele. The work determines the sound insulation properties of three wood species used in various types of acoustic partitions. The tests were carried out in a small acoustic chamber after generating white acoustic noise for 5.5 s. The level of sound intensity generated by the loudspeaker was 110 dB. The thickness of the wooden partitions was 20, 10 or 5 mm. The study was preceded by the determination of the moisture content, density and dynamic modulus of elasticity of the tested wood samples. In the 20–600 Hz frequency range, the sound insulation characteristics of the tested partitions changed dynamically but very similarly, while maintaining the mass law. In the higher frequency range, the impact of the partition thickness on insulation was individual, different for each wood species.

scholarly journals Air Injection as a Solution to the Problem for Reducing High-Frequency Acoustic Noise in Some Operating Modes of Francis Hydro Turbines

2021 ◽  
Vol 320 ◽  
pp. 04005
Author(s):  
E. N. Dolmatov ◽  
S. Y. Ilin ◽  
V. V. Eliferov
Keyword(s):  
High Frequency ◽  
Natural Frequencies ◽  
Acoustic Noise ◽  
Field Tests ◽  
Air Injection ◽  
Water Path ◽  
Operating Modes ◽  
Spiral Case ◽  
Hydro Turbines

During operation of Francis hydro turbines at the regimes of 70–95 % of Nrated, high-frequency acoustic phenomena (noise) were recorded. In order to study and identify the causes of these phenomena, special field tests were conducted. The main objectives of the tests were: determination of the main frequencies of acoustic phenomena, comparison with natural frequencies of the turbine water passages elements and the search for solutions to reduce acoustic phenomena. During the tests, the natural frequencies of the elements of turbine water path were investigated. Several methods of air injection to the turbine water path were also tested. The most effective way (including by the amount of air) to reduce acoustic phenomena was the air injection from industrial air piping into the spiral case and into the area of guide vanes.

scholarly journals Electrochemical noise analysis to obtain the Rsn value via FFT using Excel

2020 ◽  
Vol 45 (4) ◽  
pp. 57-70
Author(s):  
Sidineia Barrozo ◽  
Riberto Nunes Peres ◽  
Marcus José Witzler ◽  
Assis Vicente Benedetti ◽  
Cecílio Sadao Fugivara
Keyword(s):  
Electrochemical Noise ◽  
Rapid Determination ◽  
Noise Analysis ◽  
External Signal ◽  
Noise Resistance ◽  
Microsoft Excel ◽  
Step Procedure ◽  
Noise Data ◽  
Excellent Tool

Electrochemical noise (EN) measurements are based on the fluctuations of the electrochemical potential and the current that occur during, for example, a corrosion process without an external signal perturbation. EN analysis (ENA) allows assessment of the type of corrosion and rapid determination of the corrosion rate. Microsoft Excel®, an inexpensive and readily available software package, is an excellent tool for performing repetitive calculations, with automation that saves time for the users. It is a useful tool for the analysis of EN data using fast Fourier transform (FFT), a process that is often made repeatedly and, if not automated, is quite laborious. This work presents a step-by-step procedure using Excel to perform these calculations, automating the process of obtaining the spectral electrochemical noise resistance, . This routine was used to analyze experimental potential and current noise data recorded for chalcopyrite. The results were comparable to those obtained for the same set of experimental data using Origin® software.

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