• Title/Summary/Keyword: AE pattern

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Characteristics of Corrosion Damages in Bottom Plate of Above Ground Tank by Acoustic Emission Signal (지상탱크 저판부의 부식손상 평가를 위한 음향방출 신호의 분석)

  • Kim, Sung-Dai;Jung, Woo-Gwang;Lee, Jong-O
    • Journal of the Korean Institute of Gas
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    • v.11 no.4
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    • pp.64-72
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    • 2007
  • Under the AE methods, the valid condition analysis and evaluation the leak etc, resulted by the AE signal pattern on the bottom plate of ground tank at full. In next more, the gradient of accumulation amplitude distribution analysis and comparison the energy, count, and duration time that noise of EMI signal were removed. EMI signal showed height-energy, count, and duration time, it also appeared great gradient of accumulation distribution. Then, with the pure remaining AE signals cluster analysis and location. It would possibly assume of damage with corrosion. Total cluster 20 and energy showed between the maximum 11,990 and 8,565 which is much lower than above figure and event number showed from 8 to 5. Even when it difficult to certify damage by open, as it is raised higher height-sensitivity and threshold by 60 dB. It would possibly presume of location source more accurately.

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Experimental Studies on Joinability of SWS 490A High Tension Steel using Acoustic Emission Signals (음향방출 신호를 이용한 SWS 490A 고장력강의 접합성 평가에 대한 실험적 연구)

  • Rhee Zhang-Kyu;Woo Chang-Ki
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.14 no.3
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    • pp.87-95
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    • 2005
  • The object of this study is to investigate the effect of joinability by using acoustic emission(AE) signals and doing a pattern recognition for weld heat affected zone(HAZ) in tensile testing. This study was carried out an SWS 490A high tension steel for electric shielded metal arc welding(SMAW), $CO_2$ gas arc welding and TIG welding. And correspondingly, the root openings are 3, 4 and 2.8mm. The results of the tensile test of weld HAZ come out electric shield arc welding $>\;CO_2$ gas arc welding > TIG welding in case of single welding. It is believed that this is a phenomenon where difference of its root opening or base metal thickness. Also, the technique of AE is ideally suited to study variables which control time and stress dependent fracture or damage process in metallic materials.

Development of Adaptive Signal Pattern Recognition Program and Application to Classification of Defects in Weld Zone by AE Method (적응형 신호 형상 인식 프로그램 개발과 AE법에 의한 용접부 결함 분류에 관한 적용 연구)

  • Lee, K.Y.;Lim, J.M.;Kim, J.S.
    • Journal of the Korean Society for Nondestructive Testing
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    • v.16 no.1
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    • pp.34-45
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    • 1996
  • The signal pattern recognition program which can perform signal acquisition and processing, the extraction and selection of features, the classifier design and the evaluation, is developed and applied to the classification of artificial defects in the weld zone of Austenitic STS304. The neural network classifier is compared with the linear discriminant function classifier and the empirical Bayesian classifier. The signal through a broadband sensor is compared with that through a resonance type sensor. In recognition rate, the neural network classifier is best, and the signal through a broadband sensor is better.

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Fatigue damage monitoring and evolution for basalt fiber reinforced polymer materials

  • Li, Hui;Wang, Wentao;Zhou, Wensong
    • Smart Structures and Systems
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    • v.14 no.3
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    • pp.307-325
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    • 2014
  • A newly developed method based on energy is presented to study the damage pattern of FRP material. Basalt fiber reinforced polymer (BFRP) is employed to monitor the damage under fatigue loading. In this study, acoustic emission technique (AE) combined with scanning electronic microscope (SEM) technique is employed to monitor the damage evolution of the BFRP specimen in an approximate continuous scanning way. The AE signals are analyzed based on the wavelet transform, and the analyses are confirmed by SEM images. Several damage patterns of BFRP material, such as matrix cracking, delamination, fiber fracture and their combinations, are identified through the experiment. According to the results, the cumulative energy (obtained from wavelet coefficients) of various damage patterns are closely related to the damage evolution of the BFRP specimens during the entire fatigue tests. It has been found that the proposed technique can effectively distinguish different damage patterns of FRP materials and describe the fatigue damage evolution.

Experimental Studies on Joinability of SWS 490A High Tension Steel using Acoustic Emission Signals (음향방출 신호를 이용한 SWS 490A 고장력강의 접합성 평가에 대한 실험적 연구)

  • 이장규;우창기;윤종희;조진호;조대희;박성완;김봉각;구영덕
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2004.10a
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    • pp.40-48
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    • 2004
  • The object of this study is to investigate the effect of joinability by using acoustic emission (AE) signals and doing a pattern recognition for weld heat affected zone (HAZ) in tensile testing. This study was carried out an SWS 490A high tension steel for electric shielded metal arc welding (SMAW), $CO_2$ gas arc welding and TIG welding. And correspondingly, the root openings are 3, 4 and 2.8mm. The results of the tensile test of weld HAZ come out electric shield arc welding > $CO_2$ gas arc welding > TIG welding in case of single welding. It is believed that this is a phenomenon where difference of its root opening or base metal thickness. Also, the technique of AE is ideally suited to study variables which control time and stress dependent fracture or damage process in metallic materials.

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SEASONAL AND UNIVERSAL TIME VARIATIONS OF THE AU, AL AND DST INDICES

  • AHN BYUNG-HO;MOON GA-HEE
    • Journal of The Korean Astronomical Society
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    • v.36 no.spc1
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    • pp.93-99
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    • 2003
  • Various attempts have been made to explain the: pronounced seasonal and universal time (UT) variations of geomagnetic indices. As one of such attempts, we analyze the hourly-averaged auroral electroject indices obtained during the past 20 years. The AU and AL indices maximize during summer and equinoctial months, respectively. By normalizing the contribution of the solar conductivity enhancement to the AU index, or to the eastward electrojet, it is found that the AU also follows the same semiannual variation pattern of the AL index, suggesting that the electric field is the main modulator of the semiannual magnetic variation. The fact that the variation pattern of the yearly-mean AU index follows the mirror image of the AL index provides another indication that the electric field is the main modulator of magnetic disturbance. The pronounced UT variations of the auroral electrojet indices are also noted. To determine the magnetic activity dependence, the probability of recording a given activity level of AU and AL during each UT is examined. The UT variation of the AL index, thus obtained, shows a maximum at around 1200-1800 UT and a minimum around 0000-0800 UT particularly during winter. It is closely associated with the rotation of the geomagnetic pole around the rotational axis, which results in the change of the solar-originated ionospheric conductivity distribution over the polar region. On the other hand the UT variation is prominent during disturbed periods, indicating that the latitudinal mismatch between the AE stations and the auroral electrojet belt is responsible for it. Although not as prominent as the AL index, the probability distribution of the AU also shows two UT peaks. We confirm that the Dst index shows more prominent seasonal variation than the AE indices. However, the UT variation of the Dst index is only noticeable during the main phase of a magnetic storm. It is a combined result of the uneven distribution of the Dst stations and frequent developments of the partial ring current and substorm wedge current preferentially during the main phase.

Development of Feature Selection Method for Neural Network AE Signal Pattern Recognition and Its Application to Classification of Defects of Weld and Rotating Components (신경망 AE 신호 형상인식을 위한 특징값 선택법의 개발과 용접부 및 회전체 결함 분류에의 적용 연구)

  • Lee, Kang-Yong;Hwang, In-Bom
    • Journal of the Korean Society for Nondestructive Testing
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    • v.21 no.1
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    • pp.46-53
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    • 2001
  • The purpose of this paper is to develop a new feature selection method for AE signal classification. The neural network of back propagation algorithm is used. The proposed feature selection method uses the difference between feature coordinates in feature space. This method is compared with the existing methods such as Fisher's criterion, class mean scatter criterion and eigenvector analysis in terms of the recognition rate and the convergence speed, using the signals from the defects in welding zone of austenitic stainless steel and in the metal contact of the rotary compressor. The proposed feature selection methods such as 2-D and 3-D criteria showed better results in the recognition rate than the existing ones.

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Behavior of F shape non-persistent joint under experimental and numerical uniaxial compression test

  • Sarfarazi, Vahab;Asgari, Kaveh;Zarei, Meisam;Ghalam, Erfan Zarrin
    • Advances in concrete construction
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    • v.13 no.2
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    • pp.199-213
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    • 2022
  • Experimental and discrete element approaches were used to examine the effects of F shape non-persistent joints on the failure behaviour of concrete under uniaxial compressive test. concrete specimens with dimensions of 200 cm×200 cm×50 cm were provided. Within the specimen, F shape non-persistent joint consisting three joints were provided. The large joint length was 6 cm, and the length of two small joints were 2 cm. Vertical distance between two small joints change from 1.5 cm to 4.5 cm with increment of 1.5 cm. In constant joint lengths, the angle of large joint change from 0° to 90° with increments of 30°. Totally 12 different models were tested under compression test. The axial load rate on the model was 0.05 mm/min. Concurrent with experimental tests, numerical simulation (Particle flow code in two dimension) were performed on the models containing F shape non-persistent joint. Distance between small joints and joint angles were similar to experimental one. the results indicated that the failure process was mostly governed by both of the Distance between small joints and joint angles. The axial loading rate on the model was 0.05 mm/min. The compressive strengths of the samples were related to the fracture pattern and failure mechanism of the discontinuities. Furthermore, it was shown that the compressive behaviour of discontinuities is related to the number of the induced tensile cracks which are increased by increasing the joint angle. In the first, there were only a few acoustic emission (AE) hits in the initial stage of loading, and then AE hits rapidly grow before the applied stress reached its peak. Furthermore, a large number of AE hits accompanied every stress drop. Finally, the failure pattern and failure strength are similar in both approaches i.e., the experimental testing and the numerical simulation approaches.

Clinical Practice Guideline for Taeeumin Disease of Sasang Constitutional Medicine: Esophagus Cold-based Exterior Cold (Wiwansuhan-pyohan) disease (태음인체질병증 임상진료지침: 표병)

  • Choi, Ae-Ryun;Shin, Mi-Ran;Lee, Eui-Ju
    • Journal of Sasang Constitutional Medicine
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    • v.27 no.1
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    • pp.42-56
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    • 2015
  • Objectives This research was proposed to present Clinical Practice Guideline(CPG) for Taeeumin Disease of Sasang Constitutional Medicine(SCM): Esophagus Cold-based Exterior Cold (Wiwansuhan-pyohan) disease. This CPG was developed by the national-wide experts committee consisting of SCM professors. Methods First, collection and organization of literature related to SCM such as Donguisusebowon, Text book of SCM, Clinical Guidebook of SCM and Fundamental research to standardize diagnosis of Sasang Constitutional Medicine was performed. Secondly, journals related to clinical trial or Human complementary medicine of SCM were searched. Finally, 7 articles were selected and included in CPG for Esophagus Cold-based Exterior Cold (Wiwansuhan-pyohan) disease. Results & Conclusions The CPG of Esophagus Cold-based Exterior Cold (Wiwansuhan-pyohan) disease in Taeeumin Disease include classification, definition and standard symptoms of each pattern. Esophagus Cold-based Exterior Cold (Wiwansuhan-pyohan) disease consists of two aspects : Esophagus-Cold (Wiwanhan) and Esophagus-Cold Lung-Dry (Wiwanhan-paejo) symptomatology. Esophagus-Cold (Wiwanhan) symptomatology is classified into mild and moderate pattern by severity. Mild pattern of Esophagus-Cold (Wiwanhan) symptomatology is classified into Supraspinal Exterior (Baechu-pyo) initial and Wheezing-Dyspnea (Hyocheon) pattern. Moderate pattern of Esophagus-Cold (Wiwanhan) symptomatology is classified into Cold-reversal (Hanguel) and Cold-reversal (Hanguel) advanced pattern. And Esophagus-Cold Lung-Dry (Wiwanhan-paejo) symptomatology is classified into severe and critical pattern by severity. Severe pattern of Esophagus-Cold Lung-Dry (Wiwanhan-paejo) is classified into Dry-Cold (Johan) pattern and Dry-Cold (Johan) advanced pattern. Critical pattern of Esophagus-Cold Lung-Dry (Wiwanhan-paejo) symptomatology consists of Dry-Cold (Johan) intense pattern (Eumhyeol-mogal handa pattern).