scholarly journals Empirical Modelling of Acoustic Emission Impulses

2019 ◽  
Vol 8 (12) ◽  
pp. 3661-3664
Keyword(s):  
Acoustic Emission ◽  
Data Processing ◽  
Acoustic Waves ◽  
Diagnostic Method ◽  
Empirical Modelling ◽  
Remote Testing ◽  
Testing Method ◽  
Nondestructive Testing Method ◽  
Dispersive Nature ◽  
Data Processing Methods

Acoustic emission nondestructive testing method is very widespread diagnostic method based on phenomena of radiation of acoustic waves during the materials destruction. The main advantages of the method are sensitivity to the crack and possibility of remote testing when sensor installed far from the defect. The main drawback of the method is complexity of data processing. Acoustic emission signals are characterized by the variability of the shape and spectrum associated with the dispersive nature of the propagation of the signal along the waveguide. Uncertainty of the signal waveform and spectrum complicates the development of the data processing methods. The article proposes an empirical model of the acoustic emission impulse constructed using generalization of experimental data. The use of this model makes it possible to increase the efficiency of noise filtering by comparing the shape and spectrum of acoustic emission impulses and noise at various distances between the defect and the sensor

Acoustic Emission Based Tank Bottom Floor Corrosion Detection

2013 ◽  
Vol 7 (2) ◽  
pp. 205-210 ◽  
Author(s):  
Tao Zhang ◽  
◽  
Hao Feng ◽  
Zhou-Mo Zeng
Keyword(s):  
Acoustic Emission ◽  
Optical Fiber ◽  
Storage Tanks ◽  
Fiber Sensors ◽  
Testing Method ◽  
Actual Application ◽  
Oil Storage ◽  
Crucial Component ◽  
Tank Bottom ◽  
Nondestructive Testing Method

The tank bottom floor is a crucial component of large oil storage tanks, and its status has a pivotal impact on the integrity of the entire tank. Acoustic Emission (AE) monitoring is an advanced, in-service, nondestructive testing method internationally recognized to be capable of assessing the tank bottom floor without the necessity of prior tank cleaning. In this paper, the principle of Time Difference of Arrival (TDOA) is illustrated, and the efficiency of piezoelectric AE sensors is verified through a field experiment. The authors then investigate Mach-Zehnder interferometerbased AE sensors with a view to using optical fiber sensors as a substitute for acoustic emission detecting. The results of the experiment indicate that optical fiber AE sensors based on the Mach-Zehnder interferometer can be used as transducers sensitive to acoustic events, so they can serve as indicators of the imminent failure of a structure. In addition, some suggestions are put forward regarding forthcoming actual application.

scholarly journals Nondestructive testing method for a new generation of electronics

2018 ◽  
Vol 143 ◽  
pp. 04007
Author(s):  
Anton Azin ◽  
Andrey Zhukov ◽  
Anton Narikovich ◽  
Sergey Ponomarev ◽  
Sergey Rikkonen ◽  
...  
Keyword(s):  
Acoustic Emission ◽  
Nondestructive Testing ◽  
Printed Circuit Boards ◽  
Circuit Boards ◽  
X Ray ◽  
Printed Circuit ◽  
Critical Design ◽  
Testing Method ◽  
Nondestructive Testing Method ◽  
Design Defects

The implementation of the Smart City system needs reliable and smoothly operating electronic equipment. The study is aimed at developing a nondestructive testing method for electronic equipment and its components. This method can be used to identify critical design defects of printed circuit boards (PCB) and to predict their service life, taking into account the nature of probable operating loads. The study uses an acoustic emission method to identify and localize critical design defects of printed circuit boards. Geometric dimensions of detected critical defects can be determined by the X-ray tomography method. Based on the results of the study, a method combining acoustic emission and X-ray tomography was developed for nondestructive testing of printed circuit boards. The stress-strain state of solder joints containing detected defects was analyzed. This paper gives an example of using the developed method for estimating the degree of damage to joints between PCB components and predicting the service life of the entire PCB.

The influence of ultrasound signal parameters on sonoluminescence light intensity

2013 ◽  
Vol 62 (4) ◽  
pp. 605-612
Author(s):  
Marek Szmechta ◽  
Tomasz Boczar ◽  
Dariusz Zmarzły
Keyword(s):  
Acoustic Emission ◽  
Acoustic Waves ◽  
Power Transformer ◽  
Electrical Power ◽  
Partial Discharges ◽  
Research Project ◽  
Insulation Systems ◽  
Secondary Phenomenon ◽  
New Research ◽  
The Relationship

Abstract Topics of this article concern the study of the fundamental nature of the sonoluminescence phenomenon occurring in liquids. At the Institute of Electrical Power Engineering at Opole University of Technology the interest in that phenomenon known as secondary phenomenon of cavitation caused by ultrasound became the genesis of a research project concerning acoustic cavitation in mineral insulation oils in which a number of additional experiments performed in the laboratory aimed to determine the influence of a number of acoustic parameters on the process of the studied phenomenona. The main purpose of scientific research subject undertaken was to determine the relationship between the generation of partial discharges in high-voltage power transformer insulation systems, the issue of gas bubbles in transformer oils and the generated acoustic emission signals. It should be noted that currently in the standard approach, the phenomenon of generation of acoustic waves accompanying the occurrence of partial discharges is generally treated as a secondary phenomenon, but it can also be a source of many other related phenomena. Based on our review of the literature data on those referred subjects taken, it must be noted, that this problem has not been clearly resolved, and the description of the relationship between these phenomena is still an open question. This study doesn’t prove all in line with the objective of the study, but can be an inspiration for new research project in the future in this topic. Solution of this problem could be a step forward in the diagnostics of insulation systems for electrical power devices based on non-invasive acoustic emission method.

ANALYSIS OF THE FLOODING SYSTEM WITH APPLICATION OF STATISTICAL DATA PROCESSING METHODS

2020 ◽  
pp. 5-9
Author(s):  
A.Yu. Sentsov ◽  
◽  
I.V. Ryabov ◽  
A.A. Ankudinov ◽  
Yu.E. Radevich ◽  
...  
Keyword(s):  
Data Processing ◽  
Statistical Data ◽  
Processing Methods ◽  
Statistical Data Processing ◽  
Data Processing Methods

Use of Mathematical Modeling in Building Ceramics Functional Properties Studies

2016 ◽  
Vol 870 ◽  
pp. 191-195
Author(s):  
N.A. Vil'bitskaya ◽  
S.A. Vilbitsky ◽  
A.G. Avakyan
Keyword(s):  
Mathematical Modeling ◽  
Data Processing ◽  
Ceramic Material ◽  
Functional Properties ◽  
Statistical Data ◽  
Ceramic Tiles ◽  
Processing Methods ◽  
Statistical Data Processing ◽  
High Calcium ◽  
Data Processing Methods

The peculiarities of using mathematical and statistical data processing methods in studying the intensification in the process of sintering a ceramic material with a high content of high-calcium waste, and mineralizing sintering lithium-containing waste were studied. The region of optimal ceramic masses composition, which allows obtaining ceramic tiles with high functional properties, was defined.

Surface movement radar data processing methods for airport surveillance

2001 ◽  
Vol 37 (2) ◽  
pp. 563-585 ◽  
Author(s):  
J. Garcia Herrero ◽  
J.A. Besada Portas ◽  
F.J. Jimenez Rodriguez ◽  
J.R. Casar Corredera
Keyword(s):  
Data Processing ◽  
Radar Data ◽  
Processing Methods ◽  
Surface Movement ◽  
Radar Data Processing ◽  
Data Processing Methods

Simulation and Analysis on the Best Range of Lift-Off Values in MFL Testing

2013 ◽  
Vol 321-324 ◽  
pp. 811-814 ◽  
Author(s):  
De Hui Wu ◽  
Zhong Yuan Zhang ◽  
Zhen Liang Liu ◽  
Xiao Hao Xia
Keyword(s):  
Mechanical Vibration ◽  
Fem Simulation ◽  
Near Surface ◽  
Testing Method ◽  
Surface Areas ◽  
Field Peak ◽  
Lift Off ◽  
Nondestructive Testing Method ◽  
Strength Of Excitation ◽  
Flux Leakage

As a nondestructive testing method, the magnetic flux leakage (MFL) testing technique is widely used for the testing of surface and near-surface areas in ferromagnetic materials. The MFL field is influenced by parameters of defects, strength of excitation, sensor lift-off value and electromagnetic noises etc. A 2-D finite element method (FEM) simulation model is established in this paper to analyze the influence of lift-off values under the condition of mechanical vibration and electromagnetic noises. The distribution of the MFL field peak for different lift-off values and different depth defects is presented. The defect quantization errors caused by the mechanical vibration and electromagnetic noises are introduced to analyze the influence of lift-off values and electromagnetic noises. The best range of lift-off values can be determined from the results of error analysis. It is effective to improve the measuring accuracy in practical MFL testing.

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