• 제목/요약/키워드: Defect types

검색결과 488건 처리시간 0.022초

공동주택 시설공사별 하자유형 분석과 품질 혁신 방안 (A Study on the Defect Types and Quality Innovation Methods for Apartment Houses)

  • 주재현;방홍순;최병주;김옥규
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2018년도 춘계 학술논문 발표대회
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    • pp.155-156
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    • 2018
  • Apartment houses are now a popular form of general housing, and the construction techniques and materials quality used to construct apartments are also continuously evolving as if they were representative. However, issues concerning flaws are constantly being reported in the press. This study attempts to analyze the trend of conflicts related to defects and to analyze the types of defects received in the apartment building, to suggest the development of the integrated defect management system, and to develop the construction based on the development of the system.

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ANP 모형을 이용한 응용 소프트웨어 결함요소에 대한 중요도 가중치 설정 기법 (A Method to Establish Severity Weight of Defect Factors for Application Software using ANP)

  • 허상무;김우제
    • 정보과학회 논문지
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    • 제42권11호
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    • pp.1349-1360
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    • 2015
  • 소프트웨어 품질을 향상하기 위해서는 소스에 내재된 결함을 효율적, 효과적으로 제거해야 한다. 개발현장에서는 결함 심각도와 결함 제거율로 결함을 제거하고 있다. 결함을 이용하여 품질을 향상하기 위한 연구로는 결함 발생 빈도과 ISO 품질속성을 이용하여 품질을 향상하려는 연구가 있고, 프로젝트 수행 시 결함을 심각도로 관리하여 품질을 향상시키는 연구가 있었다. 하지만, 결함 자체에 집중하여 결함을 유형화하여 결함 유형 간에는 어떤 영향력이 있는지, 그 영향력으로 인하여 어느 결함 유형이 더 중요한 지에 대한 연구는 미흡한 실정이었다. 이에 본 연구에서는 표준단체, 업체, 연구자들의 소프트웨어 결함 유형을 수집, 분류하여 ANP로 모형화하였다. 또한, 구성된 ANP 모형을 이용하여 일반 응용 소프트웨어에 대하여 결함 유형별 중요도 가중치를 산정하였다. 일반 응용 소프트웨어를 개발할 때, 산정된 가중치를 적용하여 결함을 제거한다면, 좀 더 효율적이고 효과적으로 소프트웨어 품질을 향상할 수 있으리라 기대한다.

SMT 검사기를 위한 불량유형의 자동 분류 방법 (Defect Classification of Components for SMT Inspection Machines)

  • 이재설;박태형
    • 제어로봇시스템학회논문지
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    • 제21권10호
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    • pp.982-987
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    • 2015
  • The inspection machine in SMT (Surface Mount Technology) line detects the assembly defects such as missing, misalignment, loosing, or tombstone. We propose a new method to classify the defect types of chip components by processing the image of PCB. Two original images are obtained from horizontal lighting and vertical lighting. The image of the component is divided into two soldering regions and one packaging region. The features are extracted by appling the PCA (Principle Component Analysis) to each region. The MLP (Multilayer Perceptron) and SVM (Support Vector Machine) are then used to classify the defect types by learning. The experimental results are presented to show the usefulness of the proposed method.

GIS에서 주파수 특성을 갖는 이중 대역법에 의한 UHF 부분방전 측정기술 (UHF Partial Discharge Measurement Technology using a Dual Bands Methods to have the Frequency Characteristics in GIS)

  • 이상화;선종호;강동식;김광화
    • 대한전기학회논문지:전기물성ㆍ응용부문C
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    • 제55권3호
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    • pp.127-133
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    • 2006
  • This Paper describes a dual bands PD measurement method which has two different bandwidths. The one bandwidth is 0.5 - 2 GHz and the other is 1 - 2GHz. This method is used for GIS diagnosis. In the experiment, it shows that the ratios between two PD quantities in dual bands depend on the defect types and gas pressures. The variations of ratios in different pressures are more sensitive than ones in defect types. And These ratios increase with increasing SF6 gas pressures. As these ratios give us additive information of PD we can analyze the defect type as well as risk assessment for the GIS reliably. Therefore the above result shows that these ratios are one of parameters for diagnosing GIS.

Two-way ANOVA를 활용한 공동주택 내 타일 하자의 유형 및 위치에 따른 발생기간 차이 특성 (Characteristics of the difference in occurrence period according to the type and location of tile defects in an apartment house using two-way ANOVA)

  • 편수정;김규용;최병철;김문규;이예찬;남정수
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2022년도 봄 학술논문 발표대회
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    • pp.29-30
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    • 2022
  • Tile defects in apartment houses are caused by a combination of various factors. These factors cannot be specified, and it is difficult to determine the exact cause because a number of causes are intertwined. In addition, because the climate of Korea is different by season, the coefficient of thermal expansion between materials is different, which is a major cause of tile defects. Therefore, this study analyzed the difference between the construction location and the period of defect occurrence according to the types of tile defects caused by environmental differences between indoor and outdoor environments. Two-way ANOVA was used, indoor and outdoor spaces were selected, and defect types were selected accordingly to show the difference in the occurrence period of each defect.

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고체내부에 존재하는 결함의 형태에 따른 초음파 신호의 특징 추출 (Feature Extraction of Ultrasonic Signal due to Form of Defect in Solids)

  • 문상택
    • 한국음향학회:학술대회논문집
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    • 한국음향학회 1993년도 학술논문발표회 논문집 제12권 1호
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    • pp.169-173
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    • 1993
  • In this paper, the features extraction of reflected signals from various type of defects existing in the solid has been studied by Wiener filtering technique. In this experiment, three types of the defect have been considered; a flat cut, a angular cut and a circular hole. All of the defects have the same size, 20mm in diameter and have been located at 45mm in depth from the aluminum surface. In the result of the experiment, it has been found that the wiener filtering technique used for features extraction from the reflected signal corresponding to each defect have been very effective for defect classification.

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초고층 주상복합 건물의 하자 발생 유형 및 분석 연구 (The analysis of defects types and patterns in high-rise residential buildings)

  • 서장우;강경인
    • 한국건축시공학회지
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    • 제9권2호
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    • pp.93-101
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    • 2009
  • Recently, public interest in housing defects, such as construction errors, occupiers' complaints, faults in production, and so on, is increasing. In addition, the construction requirements of high-rise residential buildings have increased, due to the higher prices of urban areas, especially in metropolitan areas. While previous research has focused on the defects occurring in apartment housing complexes, research has not been carried out on the defects occurring in high-rise residential buildings. In this paper, the defects patterns and characteristics of high-rise residential buildings are examined and analyzed and a defect management plan is then suggested. In order to do this, we collected the defects data of high-rise residential buildings recorded by 2,299 of 2,327 occupants. The defect occurrence rate (DOR) in the residential area is 98.8%. The frequency rate of defect occurrence over the total defect occurrence since building completion is 63.28% during the first year, 24.63% (second year), 6.88% (third year), 2.27% (fourth year), and 2.53% (fifth year). The result of correlation analysis between work types showed that there is a relationship between the built-in furniture and electronics (F&E) and painting works, and the F&E and masonry works, such as marble finishing. We expect that this research will assist in the efforts to decrease the number of defects in high-rise buildings.

근적외선 영상을 이용한 후지사과의 결점 검출에 관한 연구 (I) -결점의 광학적 특성 구명 및 유의파장 선정- (Defect Detection of ‘Fuji’ Apple using NIR Imaging(I) -Optical characteristics of defects and selection of significant wavelelength-)

  • 이수희;노상하
    • Journal of Biosystems Engineering
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    • 제26권2호
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    • pp.169-176
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    • 2001
  • Defect of apple was depreciated the product value and causes storage disease seriously. To detect the defect of ‘Fuji’apple with machine vision system, the optical characteristics of defect should be investigated. In this research, absorbance spectra of defect were acquired by spectrophotometer in the range of visible and NIR region(400∼1,100nm) and L*a*b* color values were also acquired by colorimeter. NIR machine vision system was constructed with B&W camera, frame grabber, 16 tungsten-halogen lamps, variable focal length lens and NIR bandpass filter which was mounted to lens outward. Average gray values of defect at 15 NIR wavelength were acquired and the significant NIR wavelength was selected by comparing Mahalanobis distance between sound and defective apple. As the result of Mahalanobis distance analysis, the significant wavelength to discriminate the defectives in ‘Fuji’apple were found to be 720nm for scab and 970nm for bruise and cuts and 920nm was also effective regardless of defective types.

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데이터마이닝 기법을 이용한 제조 공정내의 불량항목별 예측방법 (Defect Type Prediction Method in Manufacturing Process Using Data Mining Technique)

  • 변성규;강창욱;심성보
    • 산업경영시스템학회지
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    • 제27권2호
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    • pp.10-16
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    • 2004
  • Data mining technique is the exploration and analysis, by automatic or semiautomatic means, of large quantities of data in order to discover meaningful patterns and rules. This paper uses a data mining technique for the prediction of defect types in manufacturing Process. The Purpose of this Paper is to model the recognition of defect type Patterns and Prediction of each defect type before it occurs in manufacturing process. The proposed model consists of data handling, defect type analysis, and defect type prediction stages. The performance measurement shows that it is higher in prediction accuracy than logistic regression model.

결함 형태 분류 과정이 필요없는 SG 세관 결함 크기 추정 시스템의 성능 평가 (Performance Evaluation of SG Tube Defect Size Estimation System in the Absence of Defect Type Classification)

  • 조남훈
    • 비파괴검사학회지
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    • 제30권1호
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    • pp.13-19
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    • 2010
  • 본 논문에서는 원전SG세관 결함 크기 추정을 위한 새로운 구조의 추정시스템에 대한 연구를 수행한다. 기존의 연구에서는 결함 크기를 추정하기 위하여 각각의 결함 형태별로 결함크기추정시스템을 설계하였다. 이와 같은 경우, 추정시스템의 구조가 복잡해지고 결함 크기 추정 이전에 수행하는 결함형태분류기의 정확성이 떨어질 경우 결함 크기 추정 성능도 결과적으로 악화될 수밖에 없다. 이에 본 논문에서는 결함 형태 분류 과정을 필요로 하지 않는 결함크기추정시스템의 성능을 분석하고 이를 향상시키기 위한 방안을 연구하였다. 기존의 추정시스템은 각각의 결함 형태별로 특화된 추정기를 사용하기 때문에 추정 성능이 훨씬 뛰어날 것으로 예상되었지만, 실험 결과 두 추정시스템의 성능 차이는 그리 크지 않다는 것을 알 수 있었다. 따라서 결함형태분류기의 정확성이 완벽하지 않을 경우, 본 논문에서 제안한 구조의 추정기가 효과적으로 사용될 수 있을 것으로 기대된다.