• Title/Summary/Keyword: 배관진단

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Diagnosis of Valve Internal Leakage for Ship Piping System using Acoustic Emission Signal-based Machine Learning Approach (선박용 밸브의 내부 누설 진단을 위한 음향방출신호의 머신러닝 기법 적용 연구)

  • Lee, Jung-Hyung
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.28 no.1
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    • pp.184-192
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    • 2022
  • Valve internal leakage is caused by damage to the internal parts of the valve, resulting in accidents and shutdowns of the piping system. This study investigated the possibility of a real-time leak detection method using the acoustic emission (AE) signal generated from the piping system during the internal leakage of a butterfly valve. Datasets of raw time-domain AE signals were collected and postprocessed for each operation mode of the valve in a systematic manner to develop a data-driven model for the detection and classification of internal leakage, by applying machine learning algorithms. The aim of this study was to determine whether it is possible to treat leak detection as a classification problem by applying two classification algorithms: support vector machine (SVM) and convolutional neural network (CNN). The results showed different performances for the algorithms and datasets used. The SVM-based binary classification models, based on feature extraction of data, achieved an overall accuracy of 83% to 90%, while in the case of a multiple classification model, the accuracy was reduced to 66%. By contrast, the CNN-based classification model achieved an accuracy of 99.85%, which is superior to those of any other models based on the SVM algorithm. The results revealed that the SVM classification model requires effective feature extraction of the AE signals to improve the accuracy of multi-class classification. Moreover, the CNN-based classification can be a promising approach to detect both leakage and valve opening as long as the performance of the processor does not degrade.

수처리 선진화 사업-옥내급수관 갱생으로 녹물 제거

  • Korea Mechanical Construction Contractors Association
    • 월간 기계설비
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    • no.12 s.209
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    • pp.34-43
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    • 2007
  • 환경부는 산하 수처리선진화사업단에서 수돗물 수질개선대책의 일환으로 연구개발한 옥내급수관 진단, 세척 및 갱생기술을 적용, 서울시와 공동으로 시범사업을 실시한다고 밝혔다. 이 사업은 서울 둔촌동 주공아파트 2개동 80세대를 대상으로 약 1억2000만원의 예산을 들여 지난 8월 말부터 시행, 수돗물 녹물발생 방지를 위한 갱생기술의 완성도를 검증·확인한다는 것. 기존 옥내급수관 갱생기술은 평균 관직경 15mm인 소형관에 대한 정밀시공이 어려워 녹이 재발하는 경우가 많았다. 하지만 이번에 개발된 기술은 수도관 내부의 녹 제거 및 관 내부 표면이 균일토록 코팅할 뿐 아니라 시공 후 마이크로 로봇을 이용, 관 내부 촬영 및 절연도 체크를 통해 코팅 완성도를 확인, 녹 재발 가능성을 미연에 방지한다. 이번 기술이 검증되면 환경부는 선박배관, 빌딩, 냉각수배관, 소화용배관, 산업용배관 등에도 확대 적용하고 해외진출을 통해 물산업 육성 아이템으로 발전시킬 계획이다. 한편 환경부는 지난 2005년 수도법을 개정, 건축연면적 6만$m^2$이상 다중이용건축물과 연면적5,000$m^2$이상 국.공립 공공시설은 준공 5년 후부터 매년 수질검사를 실시, 결과에 따라 수도관을 세척·갱생 또는 교체토록 올해 1월부터 의무화 하고 있다.

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Verification of the Viability of Equipotential Switching Direct Current Potential Drop Method for Piping Wall Loss Monitoring with Signal Sensitivity Analysis (등전위 교번식 직류전위차법의 신호 정밀도 검증을 통한 배관 감육 진단 기술에의 적용성 검증)

  • Ryu, Kyung-Ha;Hwang, Il-Soon;Kim, Ji-Hyun
    • Journal of the Korean Society for Nondestructive Testing
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    • v.28 no.2
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    • pp.191-198
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    • 2008
  • Flow accelerated corrosion (FAC) phenomenon of low alloy carbon steels in nuclear power plant has been known as one of major degradation mechanisms. It has a potential to cause nuclear pipe rupture accident which may directly impact on the plant reliability and safety. Recently, the equipotential switching direct current potential drop (ES-DCPD) method has been developed, by the present authors, as a method to monitor wall loss in a piping. This method can rapidly monitor the thinning of piping, utilizing either the wide range monitoring (WiRM) or the narrow range monitoring (NaRM) technique. WiRM is a method to monitor wide range of straight piping, whereas NaRM focuses significantly on a narrow range such as an elbow. WiRM and NaRM can improve the reliability of the current FAC screening method that is based on computer modeling on fluid flow conditions. In this paper, the measurements by ES-DCPD are performed with signal sensitivity analyses in the laboratory environment for extended period and showed the viability of ES-DCPD for real plant applications.

다자간 공동연구를 통한 RBI 소프트웨어 기능에 관한 조사

  • 송정수;심상훈;노웅환;최송천;윤기봉
    • Proceedings of the Korean Institute of Industrial Safety Conference
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    • 2001.11a
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    • pp.337-342
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    • 2001
  • 최근 국내외에서 정유$\cdot$석유화학 등의 공정 플랜트의 검사, 진단, 관리 및 보존공학(maintenance engineering)에서 관심을 끌고 있는 주제 중 하나는 RBI (risk based inspection) 기법이다. 또한 이 기법에 대한 관심은 화력발전 플랜트, 가스배관 분야의 관리에서도 마찬가지이다.(중략)

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A Study on Techniques for Focusing Circumferential Array Guided Waves for Long Range Inspection of Pipes (배관 원거리 진단을 위한 원주방향 배열 유도초음파 집속기술 개발)

  • Kang, To;Kim, Hak-Joon;Song, Sung-Jin;Cho, Young-Do;Lee, Dong-Hoon;Cho, Hyun-Joon
    • Journal of the Korean Society for Nondestructive Testing
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    • v.29 no.2
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    • pp.114-121
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    • 2009
  • Ultrasonic guided waves have been widely utilized for long range inspection of structures. Especially, development of array guided waves techniques and its application for long range gas pipe lines(length of from hundreds meters to few km) were getting increased. In this study, focusing algorithm for array guided waves was developed in order to improve long range inspectability and accuracy of the array guided waves techniques for long range inspection of gas pipes, and performance of the developed techniques was verified by experiments using the developed array guided wave system. As a result, S/N ratio of array guided wave signals obtained with the focusing algorithm was increased higher than that of signals without focusing algorithm.

A Development of an Array Guided Wave Ultrasonic Testing System for pipe inspection (배관 진단을 위한 배열형 유도초음파 검사시스템 개발)

  • Cho, Hyun-Joon;Lee, Dong-Hoon;Kang, To;Park, Jin-Ho;Han, Seong-Jin
    • Journal of the Korean Institute of Gas
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    • v.19 no.5
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    • pp.29-35
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    • 2015
  • Pipes, commonly used in energy and petrochemical facilities, have various types of defects induced by diverse factors and this is often issued in NDE society. Ultrasonic guided wave inspection method are normally adopted to insure the healthiness of industry pipes. Recently, ultrasonic guided wave inspection is shifted to adopt arrayed probes and system. And here we developed an array guided wave ultrasonic testing system can adapt arrayed probes and focusing methods. In this paper, an array guided wave ultrasonic testing system is presented including a transmitting focusing technique and flaw signal level enhancement.

Implementation of An Automated Ultrasonic Flaw Imaging System for the Inspection of Pipe Welding (배관 용접부 자동 초음파 결함 영상 보정 시스템 구현)

  • Kim, Han-Jong;Park, Jong-Hoon;Kim, Cheol-Won
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2008.05a
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    • pp.556-559
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    • 2008
  • 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. The automated ultrasonic testing system developed in the present study adopted an 8 channel pulser/receiver-ADC unit and a 2 axis motion driving unit and the post signal and image processing algorithms are built into the system program of the automated ultrasonic testing system.

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Application of Direct Current Voltage Gradient(DCVG) to Water Supply Pipeline Survey (상수도 관로 조사에 대한 피복손상탐측기술(DCVG)의 적용)

  • Jong Sik Kim;Chang Gun Shin;Bong Gu Cho;Kyung Jun Seo
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.493-493
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    • 2023
  • 매설배관의 피복손상부 탐측법은 CIPS법, DCVG법 등 여러 방법이 있으며, 그중 우리나라에서는 DCVG법이 가장 많이 사용되고 있다. 피복손상탐측기술(DCVG)은 매설된 관로에 대하여 직류 전류로 인해 배관주변에 발생하는 전위구배를 측정하여 비굴착상태에서 관로의 피복손상부를 찾아내는 기술이다. 본 기술을 광역상수도 정밀안전진단 및 성능평가에 적용하였으며, 탐측된 위치에 대하여 위험도(%IR)를 예측하였다. 또한 손상의심부에 대한 굴착을 통해 피복손상부를 확인하였다. 본 기술의 신뢰성 및 상수도 분야에 큰 활용성을 확인하였다. 관경, 현장여건 등에 따른 조사 및 굴착에 일부 한계점을 보였으나, 향후 축적된 데이터를 바탕으로 매설된 관로의 손상을 사전에 확인하여 관로사고를 미연에 방지할 기술로 판단된다.

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