• Title/Summary/Keyword: Expert inspection

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Development of ISI UT Auto Flaw Evaluation and Acceptance Module of Nuclear Power Plants (원전 ISI UT 자동 결함평가 및 판정 모듈 개발)

  • Park, Ik-Keun;Park, Un-Su;Kim, Hyun-Mook;Kim, Chung-Seok;Um, Byong-Guk;Lee, Jong-Po
    • Proceedings of the KSME Conference
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    • 2000.11a
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    • pp.212-218
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    • 2000
  • The importance and role of pre-/in-service inspection(PSI/ISI) for nuclear power plant(NPP) components are intimately related to plant design, safety, reliability, operation, etc. In this paper, for an effective and efficient management of large amounts of PSI/ISI data in NPPs, an intelligent database program(WS-IDPIN) for PSI/ISI data management of NPP was developed. WS-IDPIN program enables the prompt extraction of previously conducted PSI/ISI conditions and results so that the time-consuming data management, painstaking data processing and analysis in the past are avoided. Furthermore, development of ISI UT auto flaw evaluation and acceptance module based on ASME Code Sec. XI were presented. This module can be used for any angle beam examination from flat plate to spherical shapes as selected by the proper azimuthal angle. This program can be further developed as a unique PSI/ISI data management expert system.

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Development of the Expert System for Management on Slab Bridge Decks (슬래브교 상판의 전문가 시스템 개발)

  • Ahn, Young-Ki;Lee, Cheung-Bin;Yim, Jung-Soon;Lee, Jin-Wan
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.7 no.1
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    • pp.267-277
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    • 2003
  • The purpose of this study makes a retrofit and rehabilitation practice trough the analysis and the improvement for the underlying problem of current retrofit and rehabilitation methods. Therefore, the deterioration process, the damage cause, the condition classification, the fatigue mechanism and the applied quantity of strengthening methods for slab bridge decks were analysed. Artificial neural networks are efficient computing techniqures that are widely used to solve complex problems in many fields. In this study, a back-propagation neural network model for estimating a management on existing slab bridge decks from damage cause, damage type, and integrity assessment at the initial stsge is need. The training and testing of the network were based on a database of 36. Four different network models werw used to study the ability of the neural network to predict the desirable output of increasing degree of accuracy. The neural networks is trained by modifying the weights of the neurons in response to the errors between the actual output values and the target output value. Training was done iteratively until the average sum squared errors over all the training patterms were minimized. This generally occurred after about 5,000 cycles of training.

A Study on the Improvement of Response System through the Case of Heavy Rain Disaster Response (폭우재난 대응 사례를 통한 대응체계 개선방안 연구)

  • Woo Sub Shim;Sang Beam Kim
    • Journal of the Society of Disaster Information
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    • v.19 no.3
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    • pp.597-607
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    • 2023
  • Purpose: The Ministry of Employment and Labor has been working hard to ensure the safety of workers due to heavy rain during natural disasters as the responsible ministry in charge of preventing industrial accidents and health problems for workers. Accordingly, the Ministry of Employment and Labor intends to analyze actual cases of responding to heavy rain disasters and suggest ways to improve the response system. Method: An emergency response system implemented to respond to heavy rain disasters with an internal expert group composed of those in charge of disaster work at headquarters, local government offices, and Korea Occupational Safety and Health Agency, and an external expert group composed of professors, consulting representatives, and disaster managers from other ministries. Contents on self-inspection by industry, workplace inspection, use of serious siren, safety management and restoration work guidance were reviewed. Result: First of all, it is necessary to check the regular contact system from time to time, and it is also necessary to prepare and distribute detailed self-checklists for each industry. In addition, it is necessary to check the implementation of self-inspection when inspecting workplaces, and it seems necessary to have measures to increase the readability of information notified through serious disaster sirens. In addition, since safety work is done in the form of a contract, it seems necessary to prepare specific safety guidelines. Conclusion: In order to protect the lives of workers due to seasonal harm and risk factors, unlike the passive coping methods of the past, abnormal weather should not be regarded as an unexpected situation, and it should be actively and preemptively responding beyond the conventional framework.

A Study on the Function and Workflow of Laboratory Sections for Clinical Laboratory Design (진단검사의학과의 검사분야별 기능과 검사흐름도에 대한 연구)

  • Choi, Changdae;Kim, Youngaee;Jung, Taewon
    • Journal of The Korea Institute of Healthcare Architecture
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    • v.25 no.1
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    • pp.17-27
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    • 2019
  • Purpose: Clinical laboratory in hospital has taken a great role in protection of chronic disease. as well as diagnosis and treatment, And laboratory layout has been considered by the management and laboratory section more than the function and workflow. Methods: So this study figures out the workflows of laboratory sections in the recently upgraded Laboratory Medicine, and searches the functional relationships and spatial block diagram between each disciplines as follows. Literature review and expert adviser has been conducted. Results: 1) Laboratory type of Laboratory Medicine is divided into routine and specialized laboratory according to the workflow by automated or specialized test. 2) The general workflow consists of specimen collection, specimen classification, test by discipline, test report, and specimen disposal. 3) Though the function of each laboratory section is very complicated and specific, the characteristics and the workflow can be shown in detail by each lab through [Figure 4], [Figure 5], [Figure 6], [Figure 7], and [Figure 8]. 4) Functional relationship diagram can be displayed to the adjacency and relation between each laboratory and support spaces. 5) The spatial block diagram could be presented as shown in [Figure 10], in which the emergency lab lay in front side, routine lab in the central open area, and specialized lab in the behind side. Implications: This study can be used as a useful data in planning and designing a Laboratory Medicine Department.

Performance Evaluation Method of Tunnel Scanner for Lining Crack Detection (터널 균열 검출에 활용되는 터널스캐너의 성능검증 방법론)

  • Bae, Sung-Jae;Jung, Wook;Chamrith, Sereivatana;Kim, Chan-Jin;Kim, Young-Min;Hong, Sung-Ho;Kim, Jung-Gon;Kim, Jung-Yeol
    • Journal of the Society of Disaster Information
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    • v.17 no.1
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    • pp.39-52
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    • 2021
  • Purpose: Recently, due to increasing usage of high-tech equipment for facility inspection, the need of verifying high-tech equipment is being emphasized. Therefore, the purpose of this paper is to develop performance evaluation methodology of tunnel scanners that inspect tunnel facilities. Method: This paper describes literature reviews regarding the performance evaluation methodology of high-tech based equipment for facility inspection. Based on these investigations and expert advisory meetings, this paper suggests a performance evaluation methodology of tunnel scanner. Result: First evaluation indicator states minimum performance standards of tunnel scanners. Second evaluation indicator is related to tunnel scanner quality. Conclusion: The performance evaluation methodology can provide reliable equipment performance catalogues, helping users to make a proper selection of equipment. Also, developers of equipment can get authorized verification of performances, preventing poor maintenance of facilities.

Proposal for Management of Small Reservoirs (기술사 마당 - 소규모 저수지 관리를 위한 제언)

  • Koo, Bon-Chung
    • Journal of the Korean Professional Engineers Association
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    • v.45 no.4
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    • pp.62-66
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    • 2012
  • An effective management of reservoir, an agricultural infrastructure, requires an establishment of a good management system by means of unification of managing entity; training of manpower and their deployment for scientific management by expert group; carrying out repair / strengthening works based on periodic in-depth inspection results. In particular, continuous budget allocation as well as cultivating good management mind of managing entity are essential for undertaking periodic precise and / or in-depth inspections for assessing the functionality / safety of facilities and proper repair / strengthening works for satisfying the up-to-date facilty standarda and changing environmental conditions.

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Overall Vibration Values for Reliable Wind Turbines - The New VDI 3834 and the New ISO 10816-21 Guideline Close a Gap - Less Vibration is Better -

  • Becker, Edwin
    • Journal of KSNVE
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    • v.22 no.4
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    • pp.28-32
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    • 2012
  • Condition-based maintenance on wind turbines not only involves maintenance, but also encompasses servicing, inspection, measurement and evaluation of the condition of the unit. The current condition can be evaluated on the basis of machine-specific overall vibration values. Until now, overall vibration values had not been defined for wind turbines. In fact, ISO 10816-3 explicitly excludes wind power plants. The new VDI 3834 closes this gap shown in Sheet 1: Vibration values for wind turbines up to 3 MW. In addition to the new VDI 3834 is the ISO 10816-21 in preparation. The author of the article Dr. Edwin Becker is the nominated expert for Germany.

A Study on Defect Diagnosis of Rotating Machinery Using Neural Network (신경회로망을 이용한 회전기계의 고장진단에 관한 연구)

  • Choe, Won-Ho;Yang, Bo-Seok
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.28 no.2
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    • pp.144-150
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    • 1992
  • This paper describes an application of artificial neural network to diagnose the defects of rotating machiner. Induction motor was used to the object of defect diagnosis. For defect diagnosis, the frequency spectrum of vibration was utilized. Learning method of applied neural network was back propagation. Neural network has following advantage; Once it has been learned, inference time is very short and it can provide a reasonable conclusion regardless of insufficient input data. So, this defect diagnosis system can be used superiorly to rule based expert system as quality inspection of rotating machinery in the shop.

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New metal connectors developed to improve the shear strength of stone masonry walls

  • Karabork, Turan;Kocak, Yilmaz
    • Structural Engineering and Mechanics
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    • v.50 no.1
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    • pp.121-135
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    • 2014
  • Stone masonry structures are widely used around the world, but they deteriorate easily, due to low shear strength capacity. Many techniques have been developed to increase the shear strength of stone masonry constructions. The aim of this experimental study was to investigate the performance of stone masonry walls strengthened by metal connectors as an alternative shear reinforcement technique. For this purpose, three new metal connector (clamp) types were developed. The shear strength of the walls was improved by applying these clamps to stone masonry walls. Ten stone masonry walls were structurally tested in diagonal compression. Various parameters regarding the in-plane behavior of strengthening stone masonry walls, including shear strength, failure modes, maximum drift, ductility, and shear modulus, were investigated. Experimentally obtained shear strengths were confirmed by empirical equations. The results of the study suggest that the new clamps developed for the study effectively increased the levels of shear strength and ductility of masonry constructions.

A Study on the Diagnostic Knowledge Representation Using Boundary Factors (경계인파를 이용한 고장진단 지식의 표현법에 관한 연구)

  • 정현석;이병근
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.18 no.36
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    • pp.323-331
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    • 1995
  • The role of equipment maintenance in manufacturing becomes important. As a method of overcoming this problems, diagnostic expert system has been introduced. If such a system is, however, based on the troubleshooter's knowledge, many difficult cases are occured in the real process of diagnosis using that kind of system. This paper suggests to use the designer's knowledge for diagnosing the malfunctions of production equipments. To do that, a method of knowledge represen-tation is also proposed, which is based on the concept of boundary factors. In addition, the disorder propagation in considered. As a results, one can simplify the process of reasoning and inspection.

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