• Proceedings of the KIEE Conference
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• 2002.11b
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• pp.221-223
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• 2002

최근 정보통신산업의 발전 및 생활수준의 향상에 따라 정보통신기기, 정밀제어기기 등의 보급이 확산되면서 안정적이면서도 신뢰성을 갖춘 양질의 전력에 대한 수용가 측의 관심 및 요구가 급격히 증가하고 있고, 이에 파라 전력품질 모니터링. 진단 향상 시스템에 대한 연구 및 개발이 활발히 이루어지고 있다. 본 논문에서는 LG산전과 서울대학교가 공동 개발한 전력품질 모니터링 시스템에 연계되어 전력품질 오염위치 추정, 오염원 판별 통계적 추이 분석, 전력품질 인덱싱, 확률론적 분석을 수행하는 전력품질 진단시스템에 대해 소개한다. 전 세계적으로 상용화되어 있는 전력품질 진단시스템을 살펴보고, 현재 LG산전과 서울대학교가 공동 개발하고 있는 전력품질 진단시스템의 구조 및 기능에 대해 소개한다.

• Journal of the Korea institute for structural maintenance and inspection
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• v.28 no.3
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• pp.66-73
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• 2024

Stay-cable is one of the most important load carrying members in cable-stayed bridges. Monitoring structural integrity of stay-cables is crucial for evaluating the structural condition of the cable-stayed bridge. For stay-cables, tension and damping ratio are estimated based on modal properties as a measure of structural integrity. Since the monitoring system continuously measures the vibration for the long-term period, data acquisition systems should be stable and power-efficiency as the hardware system. In addition, massive signals from the data acquisition systems are continuously generated, so that automated analysis system should be indispensable. In order to fulfill these purpose simultaneously, this study presents an autonomous cable monitoring system based on domain-knowledge using IoT for continuous cable monitoring systems of cable-stayed bridges. An IoT system was developed to provide effective and power-efficient data acquisition and on-board processing capability for Edge-computing. Automated peak-picking algorithm using domain knowledge was embedded to the IoT system in order to analyze massive data from continuous monitoring automatically and reliably. To evaluate its operational performance in real fields, the developed autonomous monitoring system has been installed on a cable-stayed bridge in Korea. The operational performance are confirmed and validated by comparing with the existing system in terms of data transmission rates, accuracy and efficiency of tension estimation.

• Journal of the Korea institute for structural maintenance and inspection
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• v.19 no.3
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• pp.10-21
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• 2015

Structural health monitoring (SHM) is a technique to diagnose an accurate and reliable condition of civil infrastructure by collecting and analyzing responses from distributed sensors. In recent years, aging civil structures have been increasing and they require further developed SHM technology for development of sustainable society. Wireless smart sensor and network technology, which is one of the recently emerging SHM techniques, enables more effective and economic SHM system in comparison to the existing wired systems. Researchers continue on development of the capability and extension of wireless smart sensors, and implement performance validation in various in-laboratory and outdoor full-scale experiments. This paper presents a summary of recent (mostly after 2010) researches on smart sensors, focused on the newly developed hardware, software, and validation examples of the developed smart sensors.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.67-68
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• 2018

본 논문에서는 다수의 음향방출 센서로부터 취득한 원 데이터를 관리하고 보일러 튜브에 대한 상태를 실시간으로 진단하고 모니터링을 할 수 있는 네트워크 기반의 보일러 튜브 모니터링 시스템을 제안한다. 본 시스템을 화력발전소 보일러 튜브에 설치한다면 보일러의 불시정지를 예방하는데 효과적일 것으로 기대된다.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.11
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• pp.1305-1310
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• 2014

In this paper, the new integrated crane monitoring system that complemented the point at issue for existing crane monitoring system is implemented. The Implementing monitoring system based on wireless communication system, consist of a measuring system of total load currents of main circuit breaker, a temperature and vibration measuring system with temperature sensors and vibration sensors for monitoring an oil and bearing of a main decelerator, a temperature measuring system with temperature sensors of a main motor bearing, and sensors for fire monitoring of an entire electrical space. The measured data from these sensors transmit main controller which is located in external location. Then the Integrating monitoring system is implemented and is performed the performance test to performing diagnosis of motors of a crane.

• Proceedings of the KIEE Conference
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• 1999.07a
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• pp.299-301
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• 1999

비정현전력 품질들을 종합적으로 진단하고 분석할 수 있는 기술을 연구하고 이 기술을 토대로 측정의 신뢰를 보증할 수 있는 전기량 및 고조파, 전압변동 변화를 관찰할 수 있는 모니터링 진단시스템을 개발하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10a
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• pp.739-741
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• 2001

네트워크 기술의 보편화로 인하여 분산 네트워크 환경에서의 호스트들은 보안 사고의 위험에 항상 노출 되어 있다. 기존의 보안 기술들은 관리자가 보안을 필요로 하는 호스트에 대해 보안 취약점을 찾아서 이에 대해 조치를 취하는 것이 일반적인 방법이다. 이러한 방법들의 문제점은 새로운 보안 사고 유형에 대해 실시간으로 대처할 수 없을 뿐만 아니라, 관리자의 능력 범위 밖에 있는 호스트들은 항상 무방비 상태로 놓여 있는 문제점들이 있다. 본 논문에서는 이동 에이전트 시스템을 사용하여 각 호스트에 특정 보안 유형에 대해 진단 기능을 갖는 이동 에이전트를 파견하고 보안 취약점을 검사한 후 이를 관리자에게 보고 하는 자동화된 보안 취약점의 진단 및 모니터링 시스템에 대해 연구하였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.4
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• pp.1568-1575
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• 2013

There has been an increasing interest in the market of vehicle maintenance and repair equipments to decrease air pollution. However, most of the existing air conditioning system equipment in Korea have poor performance as well as non-protection against air pollution. The purpose of this paper is to develop the monitoring technology of recovering and recharging refrigerant for air conditioning system, and also to develop its related diagnostic system. This technology and system can supply the exact amount of refrigerant from the charger to the air conditioning system by precisely diagnosing and monitoring their statuses. This technology can also control recovering and recharging of refrigerant exactly by altering the recovering pressures of refrigerant according to circumstance temperatures.

• Journal of Navigation and Port Research
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• v.46 no.6
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• pp.562-569
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• 2022

The alarm monitoring technology applied to existing operating ships manages data items such as temperature and pressure with AMS (Alarm Monitoring System) and provides an alarm to the crew should these sensing data exceed the normal level range. In addition, the maintenance of existing ships follows the Planned Maintenance System (PMS). whereby the sensing data measured from the equipment is monitored and if it surpasses the set range, maintenance is performed through an alarm, or the corresponding part is replaced in advance after being used for a certain period of time regardless of whether the target device has a malfunction or not. To secure the reliability and operational safety of ship engine operation, it is necessary to enable advanced diagnosis and prediction based on real-time condition monitoring data. To do so, comprehensive measurement of actual ship data, creation of a database, and implementation of a condition diagnosis monitoring system for condition-based predictive maintenance of auxiliary equipment and piping must take place. Furthermore, the system should enable management of auxiliary equipment and piping status information based on a responsive web, and be optimized for screen and resolution so that it can be accessed and used by various mobile devices such as smartphones as well as for viewing on a PC on board. This update cost is low, and the management method is easy. In this paper, we propose CBM (Condition Based Management) technology, for autonomous ships. This core technology is used to identify abnormal phenomena through state diagnosis and monitoring of pumps and purifiers among ship auxiliary equipment, and seawater and steam pipes among pipes. It is intended to provide performance diagnosis and failure prediction of ship auxiliary equipment and piping for convergence analysis, and to support preventive maintenance decision-making.

• Journal of the Korea Convergence Society
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• v.11 no.11
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• pp.47-53
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• 2020

There is a need for a system that provides early warning of presence and type of failure of automobile wheel bearings through the application of predictive fault analysis technologies. In this paper, we presented a sensor module mounted on a wheel bearing and a diagnostic system that collects, stores and analyzes vehicle acceleration information and vibration information from the sensor module. The developed sensor module and predictive analysis system was tested and evaluated thorough excitation test equipment and real automotive vehicle to prove the effectiveness.