• Structural Monitoring and Maintenance
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• 제1권1호
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• pp.131-157
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• 2014

Special track systems used to divert a train to other directions or other tracks are generally called 'railway turnout'. A traditional turnout system consists of steel rails, switches, crossings, steel plates, fasteners, screw spikes, timber bearers, ballast and formation. The wheel rail contact over the crossing transfer zone has a dip-like shape and can often cause detrimental impact loads on the railway track and its components. The large impact also emits disturbing noises (either impact or ground-borne noise) to railway neighbors. In a brown-field railway track where an existing aged infrastructure requires renewal or maintenance, some physical constraints and construction complexities may dominate the choice of track forms or certain components. With the difficulty to seek for high-quality timbers with dimensional stability, a methodology to replace aged timber bearers in harsh dynamic environments is to adopt an alternative material that could mimic responses and characteristics of timber in both static and dynamic loading conditions. A critical review has suggested an application of an alternative material called fibre-reinforced foamed urethane (FFU). The full-scale capacity design makes use of its comparable engineering characteristics to timber, high-impact attenuation, high damping property, and a longer service life. A field trial to investigate in-situ behaviours of a turnout grillage system using an alternative material, 'fibre-reinforced foamed urethane (FFU)' bearers, has been carried out at a complex turnout junction under heavy mixed traffics at Hornsby, New South Wales, Australia. The turnout junction was renewed using the FFU bearers altogether with new special track components. Influences of the FFU bearers on track geometry (recorded by track inspection vehicle 'AK Car'), track settlement (based on survey data), track dynamics, and acoustic characteristics have been measured. Operational train pass-by measurements have been analysed to evaluate the effectiveness of the replacement methodology. Comparative studies show that the use of FFU bearers generates higher rail and sleeper accelerations but the damping capacity of the FFU help suppress vibration transferring onto other track components. The survey data analysis suggests a small vertical settlement and negligible lateral movement of the turnout system. The static and dynamic behaviours of FFU bearers appear to equate that of natural timber but its service life is superior.

• 한국구조물진단유지관리공학회 논문집
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• 제20권3호
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• pp.103-110
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• 2016

최근 건설되는 특수교량에는 상시적인 유지관리 체계로서 계측시스템이 활발히 도입되고 있는 상황이다. 일반적으로 계측시스템을 이용한 교량 유지관리 시에는 관리기준치를 설정하여 교량의 상태를 평가하게 되지만, 관리기준치 설정 기준과 방법이 없어 설계허용값에 근거하여 단순하게 설정되고 있는 실정이다. 기존의 방법으로 설정된 관리기준치를 적용할 경우 관리기준치 범위 내에서 발생된 이벤트, 이상거동 및 점진적으로 발생하는 손상 등과 같은 교량의 상태변화를 파악하기에는 한계가 있다. 따라서, 본 연구에서는 기존의 절대치 관리에 있어 관리기준치 설정의 문제점을 고찰하여 실무에 효과적으로 적용가능한 개선된 관리기준치 설정 및 운영방법을 도출하였다. 개선된 관리기준치 설정을 위해 검벨분포를 사용한 확률론적 접근방법을 도입하여 재현빈도 50년, 100년의 기댓값에 대한 교량의 주의, 경고치를 산정하였다. 본 연구에서의 관리기준치는 설계허용치 범위 내에서 발생하는 이상거동을 감지할 수 있도록 계측데이터와 계측데이터의 구간변화량에 대한 관리기준치를 각각 설정되었으며, 제안된 방법으로 산정된 관리기준치는 실측 데이터에 대입하여 비정상적인 데이터의 발생여부를 적절하게 파악할 수 있다는 것을 확인하였다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2017년도 춘계학술대회
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• pp.364-366
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• 2017

해양플랜트는 일반 선박과는 달리 작업이 진행되면 고정된 위치에서 장시간 운용되는 특성으로 인하여 높은 신뢰성을 요구하고 있으며 안전 확보를 위하여 사용자 및 유지보수 작업자에게 센서 기반 상태 정보가 필요하다. 본 논문에서는 해양플랜트용 Cargo Lift에 대한 안전진단 및 점검을 위한 모니터링 시스템을 제안한다. 해양플랜트 Cargo Lift에 탑재된 센서부와 임베디드 시스템 계측부, 실시간 데이터 확인을 위한 모니터링부로 구성되며 조선해양 분야에서 장비들의 고도화 및 통합화에 따라 승강기에 대한 운행정보 및 센서 계측 정보의 교환을 위해 선박 표준 네트워크 IEC 61162-450을 기반으로 한다.

• 대한토목학회논문집
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• 제29권5A호
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• pp.421-431
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• 2009

본 연구는 유도초음파를 기반으로 한 구조물 건전성 모니터링 알고리즘 검증에 관한 것이다. 유도초음파 중 램파를 기반으로 하는 능동검사시스템을 사용하였으며 본 알고리즘의 적용에 관한 기초연구로서 강판에 표면결함인 원형노치를 감지하는 실험을 수행하였다. Pitch-catch방법으로 강판 표면 원형노치에 대한 손상 탐상을 수행하여 손상전후의 $S_0$모드를 비교함으로써 손상 특성을 파악하며 손상전후 신호의 수학적 차에 의해 구한 산란램파(scatter)에 의해 손상을 평가할 수 있다. 손상전후 신호의 $S_0$모드 램파를 분석하기 위해서 연속 가보 웨이블릿 변환을 사용하여 전파시간을 구할 수 있다. 본 알고리즘은 손상모니터링 다각형과 Pitch-catch 방법을 기초로 하며 손상 위치표정값들의 평균과 표준편차에 의해 손상위치표정 및 크기를 정확히 추정 가능함이 검증되었다.

• 한국구조물진단유지관리공학회 논문집
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• 제9권4호
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• pp.127-134
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• 2005

최근 컴퓨터 기술의 발달로 장대교량의 설계 및 시공이 증가하고 있다. 특히 케이블 요소를 갖는 사장교와 현수교는 장대교량을 대표한다 할 수 있을 것이다. 따라서 본 논문에서는 사장교로 시공중인 제2진도대교에 대하여 시공단계별로 전체케이블에 대한 장력을 측정하여 시공오차 등에 따른 장력보정값을 현장에서 즉시 제시하여 시공정밀도를 향상하고자 하였다. 이에 적용된 장력측정방법은 간접법인 가속도센서를 이용한 진동법을 적용하였다. 직접법에 비해 비교적 간편한 간접인 진동법을 통하여 보다 쉽게 장력을 추정할 수 있었으며, 시공의 정밀도를 향상시키기 위하여 전체 케이블을 4가지 시공단계별로 장력변화량을 모니터링하여 케이블 가설시 시공오차에 대한 장력보정값을 현장에서 제시하였다. 또한, 최종장력값을 설계값과 비교한 결과 간접법을 이용한 장력값과 유사한 것을 알 수 있었다. 그리고 온도 변화에 따른 케이블의 장력변화를 추후 유지관리 계측시 관리한계치 설정에 참고자료로 활용할 수 있도록 장력변화를 파악하였다.

• Smart Structures and Systems
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• 제29권1호
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• pp.141-151
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• 2022

In recent years, the industry and research communities have focused on developing autonomous crack inspection approaches, which mainly include image acquisition and crack detection. In these approaches, mobile devices such as cameras, drones or smartphones are utilized as sensing platforms to acquire structural images, and the deep learning (DL)-based methods are being developed as important crack detection approaches. However, the process of image acquisition and collection is time-consuming, which delays the inspection. Also, the present mobile devices such as smartphones can be not only a sensing platform but also a computing platform that can be embedded with deep neural networks (DNNs) to conduct on-site crack detection. Due to the limited computing resources of mobile devices, the size of the DNNs should be reduced to improve the computational efficiency. In this study, an architecture called pruned crack recognition network (PCR-Net) was developed for the detection of structural cracks. A dataset containing 11000 images was established based on the raw images from bridge inspections. A pruning method was introduced to reduce the size of the base architecture for the optimization of the model size. Comparative studies were conducted with image processing techniques (IPTs) and other DNNs for the evaluation of the performance of the proposed PCR-Net. Furthermore, a modularly designed framework that integrated the PCR-Net was developed to realize a DL-based crack detection application for smartphones. Finally, on-site crack detection experiments were carried out to validate the performance of the developed system of smartphone-based detection of structural cracks.

• 품질경영학회지
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• 제49권3호
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• pp.327-340
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• 2021

Purpose: The purpose of this study is to propose a system predicting whether an electricity distribution system is abnormal by analyzing the temperature of the deteriorated system. Traditional electricity distribution system abnormality diagnosis was mainly limited to post-inspection. This research presents a remote monitoring system for detecting thermal images of the deteriorated electricity distribution system efficiently hereby providing safe and efficient abnormal diagnosis to electricians. Methods: In this study, an object detection algorithm (YOLOv5) is performed using 16,866 thermal images of electricity distribution systems provided by KEPCO(Korea Electric Power Corporation). Abnormality/Normality of the extracted system images from the algorithm are classified via the limit temperature. Each classification model, Random Forest, Support Vector Machine, XGBOOST is performed to explore 463,053 temperature datasets. The process capability index is employed to indicate the quality of the electricity distribution system. Results: This research performs case study with transformers representing the electricity distribution systems. The case study shows the following states: accuracy 100%, precision 100%, recall 100%, F1-score 100%. Also the case study shows the process capability index of the transformers with the following states: steady state 99.47%, caution state 0.16%, and risk state 0.37%. Conclusion: The sum of caution and risk state is 0.53%, which is higher than the actual failure rate. Also most transformer abnormalities can be detected through this monitoring system.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2007년도 심포지엄 논문집 정보 및 제어부문
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• pp.32-34
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• 2007

The X-ray projection system has long been used for steel-tube inspection and weld monitoring. The thickness of tubes and welded areas is based on the evaluation of radiographic shadow projections. The traditional tangential measurement estimates the distance of border lines of the projected wall shadows of a tube onto a radiographic image detector. The detected image in which although there is a variety of noise may be sectioned into several partitions according to its specific blocks. Imaging noise originates from most of elements of the system, such as shielding CCD camera, imaging screen, X-ray source, inspected object, electronic circuits and etc. The tangential projection incorrectness and noise influence on imaging quality. In this paper we first sectionalize the X-ray image on the basis of vertical contrast difference. And next functional and statistic analysis are carried on at each region. Geometrical distance and unsharpness of the edge caused by visual evaluation uncertainties are also discussed.

• 수산해양기술연구
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• 제29권2호
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• pp.109-116
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• 1993

Underwater acoustic positioning systems have been extensively used not only in surface position fixing but also in underwater position fixing. Recently, these systems have been applied in the field of installation and underwater inspection of offshore platforms etc. But in these systems are included the fixing errors as results of a signal with additive noise and irregular motion of vessel by ocean waves. To improve the accuracy of the position fixing a Kalman filter is applied to the supershort baseline (SSBL) acoustic positioning system with beacon mode in noise conditions. The position data obtained by the Kalman filter is compared with raw position data and it is confirmed in the simulation that the former is more accurate than the latter. And an indicator monitoring the filtering effect is described while ship's moving.

• 대한기계학회논문집A
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• 제28권6호
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• pp.867-875
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• 2004

In order to inspect burr geometry and hole quality in micro-drilling processes, a cost-effective method using an image processing and shape from focus (SFF) methods on the machine tool is proposed. A CCD camera with a zoom lens and a novel illumination unit is used in this paper. Since the on-machine vision unit is incorporated with the CNC function of the machine tool, direct measurement and condition monitoring of micro-drilling processes are conducted between drilling processes on the machine tool. Stainless steel and hardened tool steel are used as specimens, as well as twist drills made of carbide are used in experiments. Validity of the developed system is confirmed through experiments.