• Aerospace Engineering and Technology
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• v.6 no.1
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• pp.230-236
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• 2007

The quality control of composite structure includes inspection, testing and monitoring in all processes from receiving inspection to part fabrication. The purpose of these activities is to ensure that the design objectives are consistently achieved. The quality factors include material, receiving inspection, storage and shelf-life control, environmental control, testing, inspection and record control. This paper presents the process verification method using destructive test and quality control method in composite structure of aircraft. And it is believed that the destructive test will be basis to obtain a reliability of non-destructive test in complex composite structure and to ensure the design requirements in composite part.

• Journal of Convergence for Information Technology
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• v.9 no.3
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• pp.8-15
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• 2019

Recently, the importance of pre-shipment quality inspection has been emphasized due to the increase of STB supply. In this paper, we propose a method to support automation of quality inspection through simultaneous multi-channel input of STB video signal. The proposed method extracts a fingerprint using the center scan line of the image after stable video shot boundary detection using CeLDP combining color information and LDP code and performs synchronization between input video channels. The proposed method shows stronger shot boundary detection performance than the conventional shot detection method. Through the experiments applied to the real environment, it is possible to secure reliability and real-time quality check for synchronization between multi-channel inputs required for STB quality inspection. Also, based on the proposed method, we intend to study a large-scale quality inspection method in the future and propose a more effective quality inspection system.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.6
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• pp.2452-2457
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• 2012

When a quality inspection process rejects a product unit, consecutive repeated inspections are sometimes conducted for the rejected unit to reduce a false reject possibility. This paper analyzes a special inspection process that allows up to two times of consecutive testing for each product to decrease type I inspection errors. This study uses a Markov chain to model the steps of the inspection process and a product unit's quality states during inspection. Historical inspection results from a company are used as the data for the Markov chain model. Using the Markov chain model and data, this study analyzes the effect of this special inspection rule on the proportion of the final quality levels and scrap rate. The results demonstrate that this inspection process of possible double testing could help reduce unnecessary rejects and consequently decrease material and production costs.

• Korean Journal of Construction Engineering and Management
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• v.12 no.1
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• pp.73-84
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• 2011

This study represents construction progress management model based on quality inspection process in addition to cost-schedule integration. Quality inspection process cycle, resource estimate as progress measurement parameter, hierarchical structure of schedule, and inspection lots linking quality inspection to resource estimate are addressed as four main information areas. The authors established several process models to give a structure and correlations among information elements on each of these areas. Applying the process models proposed, an information system was implemented and utilized for nuclear power plant construction. It reveals that the system achieves accurate and objective progress information in near real time with significantly reduced time and effort as well as administrative efficiencies from making quality inspection process online.

• Proceedings of the Safety Management and Science Conference
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• 2006.11a
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• pp.255-267
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• 2006

제품을 로트(lot)단위로 구분하고 로트에서 취한 샘플을 검사하여 얻은 품질 특성의 값을 이용해서 로트의 합격여부를 판정하는 것을 샘플링검사(sampling inspection)라 하고, 검사하는 품질특성이 제품의 수명 특성치인 경우에 이를 신뢰성 샘플링 검사(reliability sampling inspection)라 한다. 그 중 벌크재료에 대한 샘플링 검사방식을 알아 보도록한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.231-234
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• 2019

본 논문에서는 레미콘 타설 공정에서 스마트폰으로 현장 검사와 품질관리가 가능하도록 모바일 레미콘 품질 관리 시스템을 제안하였다. 또한 현장검사를 디지털화하기 위한 실시간 슬럼프 데이터 처리 부분을 함께 제안하였다. 검사자의 스마트폰을 이용하여 레미콘 현장검사의 영상을 실시간으로 전송하여 오류를 판단하고 레미콘 제품 이상 여부를 현장과 본사에서 실시간 공유가 가능하도록 하였다. 개발대상기술은 실제 결과 값과 영상 이미지 분석 등으로 제품에 대한 이상 여부가 판단되며 회사 및 현장에 적합한 정보 제공이 가능하다. 레미콘 품질 데이터 분석을 기반으로 원자재 관리 데이터와 연동함으로써 레미콘 업종의 가장 큰 문제 사항인 원자재 반입에 따른 최적의 배합 비율 제시가 가능하다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.37-38
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• 2023

본 논문에서는 딥러닝을 기반으로 하는 키포인트 인식 모델을 산업용 품질검사 머신비전에 응용하는 방법을 제안한다. 전이학습 방법을 이용하여 딥러닝 모델의 인식률을 높이는 방법을 제시하였고, 전이시킨 특성 추출 모델에 대해 추가로 데이터 세트에 대한 학습을 진행하는 것이 특성추출 모델의 초기 ImageNet 가중치를 동결시켜 학습하는 것보다 학습 속도나 정확도가 높다는 것을 보여준다. 실험을 통해 딥러닝을 응용하는 산업용 품질 검사 공정에는 특성추출 모델의 추가 학습이 중요하다는 점을 확인할 수 있었다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.10
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• pp.531-538
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• 2017

In the case of hydraulic pressure type fuse, we accept or reject certain product lots by considering the number of defective products in the operating pressure test. Generally, this procedure, known as 'The inspection by attributes', has been most commonly used in the field of quality assurance of products. However, the method of inspection by attributes suffers because it tests more samples than inspection by variables. Even though the quality of the products has remained stable in the process condition, the same number of samples is required for every lot, which wastes time and money. This paper suggests that the lot acceptance procedure is changed from inspection by attributes to inspection by variables. We can calculate the statistical tolerance percent of defectives and compare this to the Acceptable Quality Level (AQL) in order to save money and time. It is also easier to monitor and control the quality of products by using the process capability index and x-bar charts. In conclusion, the procedure delivers mutual benefit to both the customer and the producer by securing high quality products and reference data.

• 두엄누리회보
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• s.47
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• pp.1-4
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• 2007

퇴비(유기질)비료 지원사업 관련 간담회 개최/업체별 생산능력 추가 조사 실시/농협 납품업체 품질검사 관련 시료 미 발취업체 제제기준 변경/퇴비 품질검사 기준에 부숙도 기계 판정 결과 적용

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.06a
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• pp.601-604
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• 2007

In this paper dose a laver surface check using a real time image process. This system does false retrieval of a laver at a laver production line. At first, a laver image was read in real time using a CCD camera. In this paper, we use an area scan CCD camera. Image is converted into a binary code image using a high-speed imaging process board afterwards. A laver feature is extracted by a binary code image. Surface false retrieval is finally executed using a laver feature. In this paper, we use an area feature of a laver image.