• 제목/요약/키워드: Pre-inspection

검색결과 302건 처리시간 0.022초

CV Joint 측정시스템용 Pre-Position 장치 개발에 관한 연구 (Development of Pre-Position device for CV Joint Measurement System)

  • 김동우;박광수;김봉준;문영훈
    • 한국소성가공학회:학술대회논문집
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    • 한국소성가공학회 2005년도 추계학술대회 논문집
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    • pp.156-159
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    • 2005
  • The outer race of CV(constant velocity) joint is an important load-supporting automotive put that transmits torque between the transmission gear box and driving wheel. The outer race is difficult to forge because its shape is very complicated and the required dimensional tolerances are very small. To guarantee the dimensional accuracy of the forged CV Joint, the quick and precise measurement is required to increase the inspection speed of forged products. Therefore in this study, PP(Pre-Position) Device to decrease the inspection time of measuring system has been developed to cope with forging cycle time. The measured inspection time confirms that the PPD is very effective in decreasing inspection time.

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창호 하자 식별을 위한 컴퓨터 비전 기반 결함 탐지 방법 (Window defects identification method by using photos collected through the pre-handover inspection of multifamily housing)

  • 이수빈;이슬비
    • 도시과학
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    • 제11권2호
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    • pp.1-8
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    • 2022
  • This study proposed how to identify window defects by using photos uploaded by occupants during the pre-handover inspection of mulch-family housing. A total of 1168 door images were acquired to generate training data and validation data. Subsequently, through the proposed algorithms, every pixel in images labeled a door was binarized using the OTSU threshold, and then dark pixels were identified as defects. Experimental results demonstrated that our computer vision-based defects identification method detects the door with a recall of 57.9%, and door defects with 63.6%. Although it is still a challenge to automatically identify building defects because of the distortion and brightness of photos, this study has the potential to support better defects management. Ultimately, the improved pre-handover inspection may lead to increased customer satisfaction.

병원관리에서 의료보험 입원진료비의 병원자체심사 결과의 분석 연구 - 일 대학병원의 퇴원전 심사를 중심으로 (Analytic Study of the Hospital Self Inspection Results with the Medical Insurance Inpatient Fee on the View-point of the Hospital Management. -based on the University hospital Pre-discharge inspection-)

  • 문선순
    • 대한간호
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    • 제32권5호
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    • pp.78-92
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    • 1994
  • The purposes of this study were to evaluate the results of the hospital self inspection with the medical insurance and to offer basic materials to the medical insurance inspection and the education of medical insurance. The study was undertaken with 4,730 cases among the total 13,810 medical insurance in patients from Jan. 1990 to Dec. 1990 at one university hospital in Pusan. The major contents of the inspection were the omission of diagnosis and medical fee, curtailment, application mistake, the rates of inclusion, subtraction and total accumulation. The data were collected using patients charts and bills. The results of the paper analysis were as follows. 1. From the pre-discharge hospital self inspection, major omission were treatment and material fee but medication fee were moderately high and high curtailment was operation fee. 2. Decreasing order of operation fee adjustment were digestive(22.4%) muscular(22%) and neuro system operation(21.4%). Majority of the medication fee adjustments were injection form of medication(95.7%). 50% of the treatment fee adjustments were composed of injection fee(27.9%) and dressing or post-operative dressing fee(22.3%). 74.7% of material costs were composed of oxygen(30.6%), blood and the blood composed materials(44.1%). 3. Pre-discharge inspection showed 6% adjustment rate, 4.3% addition and 2.1% curtailment rate. Most of the adjustment were omission(66.1%). 4. Omission were divided by event omission(92.6%)and application mistake(7.4%). The decreasing order of omission fee were operation(21.84%), treatment(18.71 %) diagnosis(18.68%), medication (14.53%) and material costs(10.84%). So operation and treatment part were the major part of the total omission fee(40.55%). 5. The average omission of diagnosis were 1,800 per month.

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월성 3,4호기 증기발생기 전열관 검사 (Wolsong 3&4 Steam Generator Tube Inspection)

  • 장경식;권동기;최진혁;손태봉
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2001년도 추계학술대회논문집B
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    • pp.859-866
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    • 2001
  • During the Pre-service Inspection for Wolsong Unit 3&4 in 1997/1998 respectively, 17 Distorted Roll Transition indications(over expanded beyond tubesheet secondary face) were identified at the Unit 4 (S/G B, D). Six(6) tubes out of these tubes were plugged in 1998. However the first Periodic Inspection identified additional 110 indications in 1999 and 2000. The additionally identified 110 indication call, not reported at the Pre-service Inspection, are; 2 Not-Finally-Expanded-Tubes and 108 Distorted Roll Transition tubes. Design limit of each Steam Generator tube Plugging is 6.4%. Plugging was performed by the Steam Generator manufacturer under the warranty. When Distorted Roll Transition indications were first identified on the Unit 4 in 1998 the degree of Over-expansion was measured using an inner dial-gage to make the disposition of Nonconformance report. 2 Not-Finally-Expanded-Tubes were plugged and 10 tubes out of 108 Distorted Roll Transition Tubes were also plugged as a preventive measure.

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정보보호 사전점검 활성화를 위한 점검항목 개선 연구 (A Study on Improvement of Inspection Items for Activation of the Information Security Pre-inspection)

  • 최주영;김진형;박정섭;박춘식
    • 정보보호학회논문지
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    • 제25권4호
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    • pp.933-940
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    • 2015
  • IT환경은 사물인터넷, SNS, 빅데이터, 클라우드 컴퓨팅 등으로 급변하고 있다. 이 기술들은 기존 기술에 새로운 기술이 추가되어 정보시스템 간의 복잡도를 증가시킨다. 그러므로 신규 정보통신서비스의 보안 기능 강화가 필요하다. 정보보호 사전점검은 신규 정보통신서비스 설계 단계부터 보안을 고려한 개발 단계를 제시하여 신규 정보통신서비스 제공자와 이용자에게 안정성 및 신뢰성 보장을 목표로 한다. 기존 '정보보호 사전점검(점검영역 22개, 통제항목 74개/세부항목 129개)'은 6단계(요구사항, 설계, 교육, 구현, 시험/테스트, 대응/사후)로 구성되어 있으며 실효성 검토를 위해 실제 정보시스템 개발 업체에서 파일럿 테스트를 수행하였다. 그 결과로 점검항목에 대한 개선 요구사항과 일부 점검항목의 재구성이 필요한 것으로 나타났다. 본 논문은 정보시스템의 사전예방이 목적인 '정보보호 사전 점검'의 활성화를 위한 연구를 하였다. 그 결과로 요구사항과 보완사항이 반영된 '정보보호 사전점검(점검영역 16개, 점검항목 54개/세부항목 76개)'을 도출하였다.

P-PIE 프로그램을 이용한 배관에서의 누설확률 평가 (Evaluation of Leak Probability in Pipes using P-PIE Program)

  • 박재학;신창현
    • 한국안전학회지
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    • 제32권6호
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    • pp.1-8
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    • 2017
  • P-PIE is a program developed to estimate failure probability of pipes and pressure vessels considering fatigue and stress corrosion crack growth. Using the program, crack growth simulation was performed with an initially existing crack in order to examine the effects of initial crack depth distribution on the leak probability of pipes. In the simulation stress corrosion crack growth was considered and several crack depth distribution models were used. From the results it was found that the initial crack depth distribution gives great effect on the leak probability of pipes. The log-normal distribution proposed by Khaleel and Simonen gives lower leak probability compared other exponential distribution models. The effects of the number and the quality of pre-service and in-service inspections on the leak probability were also examined and it was recognized that the number and the quality of pre-service and in-service inspections are also give great effect on the leak probability. In order to reduce the leak probability of pipes in plants it is very important to improve the quality of inspections. When in-service inspection is performed every 10 years and the quality of inspection is above the very good level, the leak probability shows nearly constant value after the first inspection for an initially existing crack.

의약 용기의 다중 카메라 인라인 검사 시스템에서의 품질 검사를 위한 딥러닝 네트워크 개발 (Development of a Deep Learning Network for Quality Inspection in a Multi-Camera Inline Inspection System for Pharmaceutical Containers)

  • 이태윤;윤석문;이승호
    • 전기전자학회논문지
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    • 제28권3호
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    • pp.474-478
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    • 2024
  • 본 논문에서는 의약 용기의 다중카메라 인라인 검사 시스템에서의 품질 검사를 위한 딥러닝 네트워크를 제안한다. 제안하는 딥러닝 네트워크는 현장에서 생산되는 의약 용기의 데이터를 사용하여 의약 용기에 특화된 딥러닝 네트워크로 더욱 정확하게 품질을 검사한다. 또한, 인라인 검사가 가능한 딥러닝 네트워크를 사용하여 품질 검사의 속도를 증대시킬 수 있다. 다중카메라 인라인 검사 시스템에서의 품질 검사를 위한 딥러닝 네트워크의 개발은 3단계로 나뉜다. 첫 번째로 실제 의약 용기 생산 현장에서 1개의 이물검사용 line 카메라, 3개의 치수검사용 area 카메라를 통해 얻은 약 10,000장의 이미지로 데이터셋을 구축한다. 두 번째로 의약 용기 데이터 전처리에서는 이물 검사, 치수검사의 용도에 맞게 불량이 일어날 수 있는 곳에 ROI를 지정하여 데이터를 전처리한다. 세 번째로 전처리된 데이터를 이용하여 딥러닝 네트워크를 학습한다. 딥러닝 네트워크는 적은 채널 수를 적용하여 linear layer를 사용하지 않아 판정 속도를 향상하고, PReLU와 residual learning를 적용하여 정확도를 향상한다. 이를 통해 4개의 카메라에서 구축한 데이터셋에 맞는 4개의 딥러닝 모듈을 제작한다. 제안된 의약 용기의 다중카메라 인라인 검사 시스템에서의 품질 검사를 위한 딥러닝 네트워크의 성능을 평가하기 위하여 공인시험기관에서 실험한 결과는, 딥러닝 모듈의 판별 정확도가 99.4%로 세계 최고 수준인 95% 보다 우수한 성적을 달성하였고, 평균 판별 속도가 0.947초로 측정되어 세계 최고 수준인 1초보다 우수한 성적을 달성하였다. 따라서, 본 논문에서 제안한 의약 용기의 다중카메라 인라인 검사 시스템에서의 품질 검사를 위한 딥러닝 네트워크의 효용성이 입증되었다.

PBIS: A Pre-Batched Inspection Strategy for spent nuclear fuel inspection robot

  • Bongsub Song;Jongwon Park;Dongwon Yun
    • Nuclear Engineering and Technology
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    • 제55권12호
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    • pp.4695-4702
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    • 2023
  • Nuclear power plants play a pivotal role in the global energy infrastructure, fulfilling a substantial share of the world's energy requirements in a sustainable way. The management of these facilities, especially the handling of spent nuclear fuel (SNF), necessitates meticulous inspections to guarantee operational safety and efficiency. However, the prevailing inspection methodologies lean heavily on human operators, which presents challenges due to the potential hazards of the SNF environment. This study introduces the design of a novel Pre-Batched Inspection Strategy (PBIS) that integrates robotic automation and image processing techniques to bolster the inspection process. This methodology deploys robotics to undertake tasks that could be perilous or time-intensive for humans, while image processing techniques are used for precise identification of SNF targets and regulating the robotic system. The implementation of PBIS holds considerable promise in minimizing inspection time and enhancing worker safety. This paper elaborates on the structure, capabilities, and application of PBIS, underlining its potential implications for the future of nuclear energy inspections.

주택 재건축 예비평가 자료분석을 통한 분야별 주요결함의 예방·조치방안 (The Management Method for Preventing Frequent Defect about Each Inspection Part from The Data Analysis of Pre-qualification of Residential Building Reconstruction)

  • 김천학;배철학
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2008년도 추계 학술논문 발표대회
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    • pp.181-186
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    • 2008
  • The purpose of this study is analyzing the frequent defect about each inspection part of Pre-qualification of residential building reconstruction and finding the cause of occurrence so that can supply a solution of the problem during the plalnning and constructure. The frequent defects are naturally following the deterioration and more occur in the structure body than a skin. The meaning that supply the cause and the managing method for preventing frequent defects about each inspection part is as follows. To prevent the defects, it is needed that the choice of the appropriate materials, giving a sufficient space for facilities, reliable constructure for the part of expecting the defects. The quality of life will go up due to making a good dwelling environment and extending the life cycle of structures from the inspection and managing the part of expecting defects.

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원자로 헤드 관통관 노즐 가동전 검사 수행 (Pre-Service Inspection for Reactor Vessel Penetration Nozzle)

  • 이동진;노익준;신건철;김해석;홍주열;최정권
    • 한국압력기기공학회 논문집
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    • 제6권2호
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    • pp.9-15
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    • 2010
  • US NRC issued rulemaking of 10CFR50.55a to perform the Perservice and Inservice inspection for Reactor Vessel Head Penetration Nozzle of US Nuclaer plant. The rulemaking was required the EPRI Demonstration to verify the NDE technique performing special Ultrasonic examination. In order to meet this requirement, the UT and ECT procedures was demonstrated and the NDE personnel were qualified by EPRI. In this paper, the NDE technique and analysis method are described the Preservice inspection for the Palo Verde #1/2/3 Replacement Reactor Vessel Head Penetration Nozzle using the qualified procedures and personnel.

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