• Title/Summary/Keyword: 배관진단

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Design and Implementation of Flaw Image processing System for Automated Ultrasonic Testing System (자동 초음파 검사를 위한 결함 영상 처리 시스템의 설계 및 구현)

  • Kim, Han-Jong;Park, Jong-Hoon;Kim, Chul-Won
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.1
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    • pp.225-232
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    • 2010
  • In this study, an automated ultrasonic testing system and post signal and image processing techniques are developed in order to construct ultrasonic flaw images in weldments. Image processing algorithms are built into the flaw image processing system for the automated ultrasonic testing system. The developed signal and image analysis algorithms addressed in this study include an A-Scan data compression algorithm, ultrasonic image amplification algorithm and B-scan flaw image correction algorithm(SAFT). This flaw image processing system for the automated ultrasonic testing system can be applied to various inspection fields.

Indirect Inspection Signal Diagnosis of Buried Pipe Coating Flaws Using Deep Learning Algorithm (딥러닝 알고리즘을 이용한 매설 배관 피복 결함의 간접 검사 신호 진단에 관한 연구)

  • Sang Jin Cho;Young-Jin Oh;Soo Young Shin
    • Transactions of the Korean Society of Pressure Vessels and Piping
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    • v.19 no.2
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    • pp.93-101
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    • 2023
  • In this study, a deep learning algorithm was used to diagnose electric potential signals obtained through CIPS and DCVG, used indirect inspection methods to confirm the soundness of buried pipes. The deep learning algorithm consisted of CNN(Convolutional Neural Network) model for diagnosing the electric potential signal and Grad CAM(Gradient-weighted Class Activation Mapping) for showing the flaw prediction point. The CNN model for diagnosing electric potential signals classifies input data as normal/abnormal according to the presence or absence of flaw in the buried pipe, and for abnormal data, Grad CAM generates a heat map that visualizes the flaw prediction part of the buried pipe. The CIPS/DCVG signal and piping layout obtained from the 3D finite element model were used as input data for learning the CNN. The trained CNN classified the normal/abnormal data with 93% accuracy, and the Grad-CAM predicted flaws point with an average error of 2m. As a result, it confirmed that the electric potential signal of buried pipe can be diagnosed using a CNN-based deep learning algorithm.

Seismic Performance Evaluation on Bending Deformation of 2-Ply and 3-Ply Bellows Expansion Pipe Joints (2겹 및 3겹 벨로우즈 신축배관이음의 휨 변형에 대한 내진성능평가 )

  • Sung-Wan Kim;Sung-Jin Chang;Dong-Uk Park;Bub-Gyu Jeon
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.27 no.2
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    • pp.33-41
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    • 2023
  • The application of seismic separation joints that can improve the deformation capacity of piping is an effective way to improve seismic performance. Seismic separation joints capable of axial expansion and bending deformation are installed where deformation is expected and used for the purpose of safely protecting the piping. Bellows are flexible and have low stiffness, so they can be used as seismic separation joints because they have excellent ability to respond to relatively large deformation. In this study, the seismic performance and limit state for bending deformation of 2-ply and 3-ply bellows specimens were evaluated. Seismic performance was evaluated by applying an increasing cyclic load to consider low-cycle fatigue due to seismic load. In order to confirm the margin for the limit state of the evaluated seismic performance, an experiment was conducted in which a cyclic loading of constant amplitude was applied. As a result of the experiment, it was confirmed that the bellows specimen was made of stainless steel and had a high elongation, so that the 2-ply bellows specimen had the limit performance of resisting within 3 cycles even at the maximum forced displacement of the 3-ply bellows specimen.

Measurement of Inner Defects and out of Plane Deformation of Pressure Vessel in Piping of Circulation System Using Shearography (전단간섭법을 이용한 배관 순환 시스템에서의 압력용기 내부결함 및 면외변형 측정)

  • Kang, Chan-Geun;Kim, Hyun-Ho;Jung, Hyun-Il;Choi, Tae-Ho;Jung, Hyun-Chul;Kim, Kyeong-Suk
    • Journal of the Korean Society for Nondestructive Testing
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    • v.34 no.5
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    • pp.349-355
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    • 2014
  • Wall thinning defects can occur in the pressure vessels used in a variety of industries. Such defects are related to the flow velocity. Considering the fact that such vessels constitute up to 70 or 80% of the plant structures in a power plant, it is important to measure internal defects as part of a safety evaluation. In this study, optical measurement were applied in a non-destructive evaluation using shearography to ensure the safety and improve the reliability of a power plant through the non-contact, non-destructive evaluation of pressure vessels. In order to verify whether the pressure vessels contained faults, experimental and analytical investigation were conducted to measure any internal defects and out-of-plane deformation from inner temperature changes and pressure changes in the piping of the circulation system. The most important factors in this research were the thickness, width, and length of a defect. An increase in these could confirm an increase in the deformation. Thus, internal defects in a pressure vessel were measured using shearography, which made it possible to ensure the reliability and integrity of the pipe.

Fault Diagnosis Algorithm of an Air-conditioning System by using a Neural No-fault Model and a Dual Fuzzy Logic (신경망무고장모델과 이중퍼지로직을 사용한 냉방기 고장진단 알고리즘)

  • Han Do-Young;Jung Nam-Chul
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.18 no.10
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    • pp.791-799
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    • 2006
  • The fault diagnosis technologies may be applied in order to decrease the energy consumption and the maintenance cost of an air-conditioning system. In this paper, a fault diagnosis algorithm was developed by using a neural no-fault model and a dual fuzzy logic. Five different faults, such as the compressor valve leakage, the liquid line blockage, the condenser fouling, the evaporator fouling, and the refrigerant leakage of an air-conditioning system, were considered. The fault diagnosis algorithm was tested by using a fault simulation facility. Test results showed that the algorithm developed for this study was effective to detect and diagnose various faults. Therefore, this algorithm may be practically used for the fault diagnosis of an air-conditioning system.

An Experimental Study on the Structural Performance of Steel Beam with Opening Close to End Subjected to Cyclic Loading (반복하중을 받는 단부에 근접한 개구부를 갖는 강재보의 구조성능에 관한 실험적 연구)

  • Han, Dong-Ho
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.25 no.2
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    • pp.66-73
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    • 2021
  • In the existing study of steel beams with openings, openings are located at a location where the distance to the support point is equal to or greater than the section height. Considering the facilities using the openings in the steel beam, the distance from the opening to the support point may be closer than the height of the beam section. Therefore, research on this is needed. This study is an experimental study to understand the structural performance of beams with openings close to the ends subjected to Cyclic Loading. In addition, in this study, we want to understand the structural performance through experiments on beams with openings reinforced with vertical or horizontal steel plates.

Comparison of Utrasonic and Vibration Diagnostic Techniques for the Inspection of Pipes in CVD System (화학증착 시스템에서의 파이프내 오염입자 관찰을 위한 초음파 및 진동 진단법의 비교연구)

  • Yun Ju-Young;Seong Dae-Jin;Shin Yong-Hyoen;Lee Ji-Hun;Moon Doo-Kyung;Kang Sang-Woo
    • Journal of the Korean Vacuum Society
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    • v.15 no.4
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    • pp.421-426
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    • 2006
  • In examining particulate deposits in the pipes of a chemical vapor deposition (CVD) system, vibration diagnostics is compared and studied against ultrasonic diagnostics, The latter method involves pulsing the outer wall of pipes with an ultrasonic sensor and analyzing the resulting echo to observe particulate deposits inside pipes. Vibration diagnostics examines the existence of particulate deposits by analyzing the difference in the frequencies generated when a vibrator is adhered to the outer wall of pipes. With ultrasonic diagnostics, good test results were obtained only when particulate deposits were attached to the inner wall of the pipes, After some time, however, particulate deposits were not detected properly, as the ultrasonic wave failed to cross the fine gaps created between the inner wall of the pipe and the deposits. The ultrasonic wave bounced back because of the dried particulate deposits on the wall. Thus, it has been proven that the ultrasonic diagnostics is not an appropriate means of examining the particulate deposits in a vacuum, On the other hand, vibration diagnostics succeeded in detecting the particulate deposits regardless of the lapsed time. In conclusion, the vibration diagnostics is being expected as the effective method in monitoring the particulate deposits inside pipes in the CVD system where the desired behavior is reduced frequency along with the particulate deposits in comparison to the case where the pipe is clean.

Nondestructive Evaluation using Optical Methods (광학적 방법에 의한 비파괴 평가)

  • Kang, Young-June
    • Journal of the Korean Society for Nondestructive Testing
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    • v.21 no.2
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    • pp.213-226
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    • 2001
  • 최근 가속화되어 가는 산업발전으로 인하여 산업구조물 및 기계 부품의 안정성 및 비파괴 검사에 대한 요구가 크게 대두되고 있다. 이는 곧 산업구조물 및 제품의 품질 향상을 위한 기존의 검사방법으로는 제품의 완성도를 높이기 어렵다는 것을 의미하며, 제품의 질을 향상시키기 위해서는 새로운 비파괴 평가방법이 필요하다는 것을 의미한다. 또한 모든 구조물의 보수 유지 및 안전성 진단의 차원에서 모든 산업적 구조물의 변형과 응력, 진동모드, 미소3차원 형상에 대한 평가 및 해석은 구조물의 수명과 관계되어 그 중요성이 크다 할 수 있다. 이에 본고에서는 기존의 비파괴검사 방법들이 많은 장점이 있음에도 불구하고, 단점을 극복할 수 있는 평가 기술로서, 고체재료 및 산업구조물 - 기계구조물, 전자 부품, 배관, 토목건축 구조물 등 - 의 변형, 결함, 균열, 응력 등을 검사 및 평가할 수 있는 광학적인 비파괴 평가 방법에 대해 소개하고자 한다.

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Fracture Resistance and Integrity of Structural Materials for Major Nuclear Reactor Components (원자력발전소 주요부품 구조재료의 파괴 저항성 및 건전성)

  • 홍준화
    • Journal of the KSME
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    • v.35 no.6
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    • pp.481-494
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    • 1995
  • 원자로 압력용기 및 주 배관등 원자력발전소 주요부품 구조재료에서의 파괴저항성 및 건전성 문제를 일부 시험결과 및 평가결과와 함께 살펴보았다. 원자력환경하에서는 중성자 조사에 의한 조사취화 및 고온에서의 장기간 유지에 따른 열취ㅘ로 재료 고유의 파괴저항치가 가동에 따라 매우 감소하고, 이에 따라 부품의 건전성 및 수명이 매우 위협받고 있음을 확인하였다. 현재 가동중인 원자로 10기, 건설중인 8기, 합계 18기로 세계 9위의 원자력발전국이 되며, 대북 경수로 지원과 세계시장 진출을 계획하고 있는 우리나라에서는, 보다 안전한 원자력발전소가 건설되기 위해서, 재료의 균질성 및 파괴인성 개선연구, 조사특성 연구 등을 통해 파괴저항성이 우수한 국산소재를 제작\ulcorner공급하도록 하여야 한다. 또한, 수명기간 동안 고도의 건전성을 유지하면서 운전하고, 나아가 수명연장 운전을 위해서는, 용기 등 주요 부품의 상태(파괴인성치, 결함, 작용 응력)를 정확히 진단, 예측, 평가하여야 하고, 이들이 건전성에 미치는 영향평가와 건전성평가기술 확립을 통한 수명예측기술을 확보하여야 한다(이들은 대부분 파괴역학 시험 침 해석기술에 바 탕을 두고 있다). 국내 산\ulcorner학\ulcorner연 관련자들의 특별한 관심을 촉구하는 바이다.

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Gradual pipe wall thinning diagnosis through the variation of dispersion characteristics of SH waves (SH파 분산특성 변화를 이용한 배관 점진감육 진단 기법)

  • Cho, Seung-Hyun;Kwon, Hyu-Sang;Ahn, Bong-Young;Lee, Seung-Seok
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2009.04a
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    • pp.258-259
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    • 2009
  • Pipe wall thinning is one of severe problems on structural safety in nuclear power plants. A guided wave can be a proper tool for the fast evaluation or monitoring. As for gradual wall thinnings, however, low sensitivity caused by the low reflection coefficient limits the use of the guided wave. In this work, instead of the guided wave reflection at the wall thinning, the variation of dispersion characteristics is concerned. SH waves were employed due to several advantages and the magnetostrictive patch transducers were used for the excitation and sensing of the SH waves. The proposed method were verified with some experiments and showed the feasibility as an effective tool for the inspection of gradual wall thinning.

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