• 제목/요약/키워드: Artificial defect

검색결과 273건 처리시간 0.029초

저면산란 초음파 신호 및 신경회로망을 이용한 균열크기 결정 (Crack Size Determination Through Neural Network Using Back Scattered Ultrasonic Signal)

  • 이준현;최상우
    • 대한기계학회논문집A
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    • 제24권1호
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    • pp.52-61
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    • 2000
  • The role of quantitative nondestructive evaluation of defects is becoming more important to assure the reliability and the safety of structure, which can eventually be used for residual life evaluation of structure on the basis of fracture mechanics approach. Although ultrasonic technique is one of the most widely used techniques for application of practical field test among the various nondestructive evaluation technique, there are still some problems to be solved in effective extraction and classification of ultrasonic signal from their noisy ultrasonic waveforms. Therefore, crack size determination through a neural network based on the back-propagation algorithm using back-scattered ultrasonic signals is established in this study. For this purpose, aluminum plate containing vertical or inclined surface breaking crack with different crack length was used to receive the back-scattered ultrasonic signals by pulse echo method. Some features extracted from these signals and sizes of cracks were used to train neural network and the neural network's output of the crack size are compared with the true answer.

Partial Discharge Process and Characteristics of Oil-Paper Insulation under Pulsating DC Voltage

  • Bao, Lianwei;Li, Jian;Zhang, Jing;Jiang, Tianyan;Li, Xudong
    • Journal of Electrical Engineering and Technology
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    • 제11권2호
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    • pp.436-444
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    • 2016
  • Oil-paper insulation of valve-side windings in converter transformers withstand electrical stresses combining with AC, DC and strong harmonic components. This paper presents the physical mechanisms and experimental researches on partial discharge (PD) of oil-paper insulation at pulsating DC voltage. Theoretical analysis showed that the phase-resolved distributions of PDs generated from different insulated models varied as the increase of the applied voltages following a certain rule. Four artificial insulation defect models were designed to generate PD signals at pulsating DC voltages. Theoretical statements and experimental results show that the PD pulses first appear at the maximum value of the applied pulsating DC voltage, and the resolved PD phase distribution became wider as the applied voltage increased. The PD phase-resolved distributions generated from the different discharge models are also different in the phase-resolved distributions and development progress. It implies that the theoretical analysis is suitable for interpretation of PD at pulsating DC voltage.

능동 적외선열화상 기법을 이용한 이면결함 검출에서의 측정 불확도 (Measurement Uncertainty on Subsurface Defects Detection Using Active Infrared Thermographic Technique)

  • 정윤재;김원태;최원재
    • 비파괴검사학회지
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    • 제35권5호
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    • pp.341-348
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    • 2015
  • 능동적 열화상 기법은 재료의 수동적 열적결함에 있어 기존의 적외선 열화상 기법에 비해 우수한 결함 검출능력을 보이는 것으로 알려져 있다. 적외선 비파괴 검사는 지금까지 다양한 검출 기법에 대한 발전이 이루어졌으나 신뢰성에는 다소 의문이 있다. 따라서 본 논문에서는 위상잠금 열화상기법을 적용하여 각각 다른 결함의 크기와 깊이의 인공결함을 갖는 SM45C 시험편을 가지고 제안된 기법을 검증하고, 불확도를 평가하여 위상잠금 열화상 기법을 이용한 결함의 크기측정에 대한 신뢰성을 검토하였다.

ESPI를 이용한 복합재료 박리결함의 정량평가 (Quantitative Evaluation of Delamination Inside of Composite Materials by ESPI)

  • 김경석;양광영;강기수;지창준
    • 비파괴검사학회지
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    • 제24권3호
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    • pp.246-252
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    • 2004
  • 복합재료는 이방성의 특징으로 매우 복잡한 역학거동을 하며, 해석 및 신뢰성 검사에 많은 어려움이 있다. 특히, 기존의 비파괴검사기법으로 내부손상을 검출하는 것은 매우 어려운 실정이다. 이에 본 연구에서는 복합재구조물의 가장 취약한 분야인 충격에 의한 손상이 발생할 경우 효과적인 검출기법을 개발하고, 충격에 따른 내부결함의 정량평가에 ESPI를 활용하였다. 인공결함을 이용하여 ESPI기법의 신뢰성을 확보하고 실제 충격손상 시험편에 대해 적용하여 5%이내의 오차율로 결함을 정량평가하였다.

은닉 마르코프 모델을 이용한 속도 변화가 있는 회전 기계의 상태 진단 기법 (Condition Monitoring of Rotating Machine with a Change in Speed Using Hidden Markov Model)

  • 장미;이종민;황요하;조유종;송재복
    • 한국소음진동공학회논문집
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    • 제22권5호
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    • pp.413-421
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    • 2012
  • In industry, various rotating machinery such as pumps, gas turbines, compressors, electric motors, generators are being used as an important facility. Due to the industrial development, they make high performance(high-speed, high-pressure). As a result, we need more intelligent and reliable machine condition diagnosis techniques. Diagnosis technique using hidden Markov-model is proposed for an accurate and predictable condition diagnosis of various rotating machines and also has overcame the speed limitation of time/frequency method by using compensation of the rotational speed of rotor. In addition, existing artificial intelligence method needs defect state data for fault detection. hidden Markov model can overcome this limitation by using normal state data alone to detect fault of rotational machinery. Vibration analysis of step-up gearbox for wind turbine was applied to the study to ensure the robustness of diagnostic performance about compensation of the rotational speed. To assure the performance of normal state alone method, hidden Markov model was applied to experimental torque measuring gearbox in this study.

$2_{1/4}$ Cr-1 Mo강의 평활재상의 미소한 표면피로균열의 성장특성 (Propagation Characteristics of Fatigue Microcracks on Smooth Specimen of $2_{1/4}$ Cr-1 Mo Steel)

  • 서창민;우병철;장희락
    • 한국해양공학회지
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    • 제4권2호
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    • pp.100-111
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    • 1990
  • In this paper, fatigue tests were carried out at stress test levels of 461 MPa, 441 MPa, and 431 MPa by using smooth specimen of$2_{1/4}$ Cr-1 Mo steel with the stress ratio(R) of 0.05. The initiation, growth and coalescense process of the major cracks and sub-cracks among the fatigue cracks on the smooth specimen are investigated and measured under each stress level at a constant cycle ratio by the replica technique with optical microscope. Some of the important results are as follows: In spite of the difference of stress levels, the major crack data gather into a small band in the curve of surface crack length and crack depth against cycle ratio N/Nf. The sub-crack data, however, deviate from the band of the major crack. The growth rates, da/dN, of major and sub-crack plotted against the stress intensity factor range, ${\Delta}K$, have the tendency to be compressed on a relatively small band. But it is more effective to predict fatigue life through major cracks. The propagation behavior of surface microcracks on the smooth specimens coincides with that of the specimen having an artificial small surface defect or through crack.

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Stator Insulation Quality Assessment for High Voltage Motors Based on Probability Distributions

  • Kim, Hee-Dong;Kim, Chung-Hyo
    • Journal of Electrical Engineering and Technology
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    • 제3권4호
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    • pp.571-575
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    • 2008
  • Stator insulation quality assessment for high voltage motors is a major issue for the reliable maintenance of industrial and power plants. To assess the condition of stator insulation, nondestructive tests were performed on the sixty coil groups of twelve motors. After completing the nondestructive tests, the AC voltage applied to the stator winding was gradually increased until insulation failure in order to obtain the breakdown voltage. The stator winding of each motor was classified into five coil groups; one group with healthy insulation and four groups with four different types of artificial defects. To analyze the breakdown voltage statistically, Weibull distribution was employed for the tests on the fifty coil groups of ten motors. The 50th percentile values of the measured breakdown voltages based on the statistical data of the five coil groups of ten motors were 26.1kV, 25.0kV, 24.4kV, 26.7kV and 30.5kV, respectively. Almost all of the failures were located in the line-end coil at the exit of the core slot. The breakdown voltages and the types of defects showed strong relation to the stator insulation tests such as in the case of dissipation factor and ac current. It is shown that the condition of the motor insulation can be determined from the relationship between the probability of failure and the type of defect.

인공신경회로망을 이용한 원공결함을 갖는 유한 폭 판재의 음향방출 음원특성과 파괴거동에 관한 연구 (Acoustic Emission Source Characterization and Fracture Behavior of Finite-width Plate with a Circular Hole Defect using Artificial Neural Network)

  • 이장규;우창기
    • 한국공작기계학회논문집
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    • 제18권2호
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    • pp.170-177
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    • 2009
  • The objective of this study is to evaluate an acoustic emission (AE) source characterization and fracture behavior of the SM45C steel by using back-propagation neural network (BPN). In previous research Ref. [8] about k-nearest neighbor classifier (k-NNC) continuity, we used K-means clustering method as an unsupervised learning method for obtaining multi-variate AE main data sets, such as AE counts, energy, amplitude, risetime, duration and counts to peak. Similarly, we applied k-NNC and BPN as a supervised learning method for obtaining multi-variate AE working data sets. According to the error of convergence for determinant criterion Wilk's ${\lambda}$, heuristic criteria D&B(Rij) and Tou values are discussed. As a result, in k-NNC before fracture signal is detected or when fracture signal is detected, showed that produce some empty classes in BPN. And we confirmed that could save trouble in AE signal processing if suitable error of convergence or acceptable encoding error give to BPN.

탄성파 간섭파를 이용한 중합전 구조보정 (Prestack migration using seismic interferometry)

  • 김영완;장성형;윤왕중;서상용
    • 한국신재생에너지학회:학술대회논문집
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    • 한국신재생에너지학회 2008년도 추계학술대회 논문집
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    • pp.203-207
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    • 2008
  • Prestack depth migration is used to image for complex geological structure such as faults, folds, and subsalt. In this case, it is widely used the surface reflection data as a input data. However, the surface reflection data have intrinsic problems to image the subsalt and the salt flank due to the complex wavefields and multiples which come from overburden. For overcoming the structural defect of the surface reflection data in the imaging, I used the virtual sources in terms of seismic interferometry to image the subsurface and suppress the multiples using the velocity model of the lower part of the virtual sources. The results of the prestack depth migration using virtual source gathers and velocity model below receivers are similar geological interfaces to the results from shot gathers of the conventional ocean bottom seismic survey. And especially artificial interfaces by multiples were suppressed without applying any other data processing to eliminate multiples. This study results by numerical modeling can make a valuable imaging tool when it is applied to satisfied field data for specific condition.

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차량 밸브용 내열강재 이종 마찰용접부의 피로특성 평가 (An Evaluation of Fatigue Properties on Dissimilar Friction Weld of Heat-Resisting Steels Used in Vehicle Valves)

  • 이동길;이상열;정재강
    • 한국자동차공학회논문집
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    • 제10권2호
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    • pp.186-192
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    • 2002
  • The fatigue crack propagation characteristics were investigated on dissimilar friction weld of two kind of heat-resisting steels (STR3 and STR35) commonly used in valve materials for vehicles. A small circular artificial defect was machined to induce fatigue crack at bonded line, heat affected zone and base metal of the weld on the surface of the specimens. From the results of the experiment, the fatigue limits of the materials STR3 and STR35 were obtained to be 429.0MPa and 409.4MPa respectably. The STR35 base metal and 1.0mm HAZ specimens showed 190% and 82% higher fatigue life than STR3 base metal. And the fatigue life of 1.0mm HAZ specimen was shown 99% on STR3 and 29% on STR35 higher than that of their base metal. But the fatigue life of weld interface specimen was shown 18% on STR3 and 72% on STR35 lower than that of their base metal because of the weld interface separation.