• 풍력에너지저널
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• 제13권1호
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• pp.5-14
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• 2022

Currently, the Korean government is driving the construction of large-scale floating offshore wind farms to increase domestic renewable energy generation and decrease carbon emissions. In offshore wind farms, maintenance approaches can be limited more often than onshore wind farms by marine weather conditions (wave height, etc.). Therefore, maintenance planning optimization is more important to minimize maintenance costs and power generation loss by downtime. Additionally, the power generation of a wind farm is affected by wind speed as well as wind direction because of the wake effect, so it is possible that power generation loss by downtime is also dependent on combinations of weather conditions (wind speed and direction) and the location of wind turbines for maintenance. In this study, the effects of the wind conditions and the locations of tripped wind turbines on power generation loss were explored for a hypothetical floating offshore wind farm. In order to calculate the power generation of a wind farm, a wake effect calculator was developed based on Jensen's formula. Then, a simple methodology of determining maintenance priorities that minimize power generation loss was proposed.

• International Journal of Reliability and Applications
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• 제2권2호
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• pp.99-105
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• 2001

Delay time analysis is a pragmatic mathematical concept readily embraced by engineers which has been developed as a means to model maintenance decision problem. This paper considers an inspection period using delay time analysis for fishing vessel equipment. We assume that delay time has a Weibull distribution. In this paper, we determine the optimal inspection period which minimize the expected downtime per unit time. Explicit solutions for the optimal inspection are presented for illustrative purposes.

• 한국터널지하공간학회 논문집
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• 제23권6호
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• pp.393-402
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• 2021

국내에 첫 도입된 TBM은 Gripper TBM으로 1985년 구덕 수로터널에 적용되었다. Gripper TBM 도입 초기단계에는 주로 수로터널 중심으로 적용 실적이 많았다(Tunnel Mechanized Construction Design, 2008). 현재 국내에서의 Gripper TBM의 시공범위는 수로터널은 물론이고 지하철, 철도터널, TBM+NATM 확공에 이르기까지 매우 다양하게 적용되고 있다. 해외에서는 Gripper TBM의 적용은 일반적이며, NATM터널 적용 시에도 Gripper TBM의 우수한 굴진율 때문에 탐사터널로 적용하고 완공 후에는 피난터널로 사용한다. 빠른 굴착속도로 인하여 풍화암 이상의 암반구간에서 Gripper TBM의 적용은 장대터널이나 산악터널 계획 시 다수의 작업구를 만들어 발생하는 환경이나 민원문제를 최소화 할 수 있다. 본 연구에서는 국내에서 가장 많이 적용되었던 직경 2.6~5.0 m의 Gripper TBM의 월굴진율과 시공싸이클을 분석하여 일반적인 Gripper TBM의 작업과정을 분석하고 월굴진율 300 m/month 이하로 굴진율을 기록했던 프로젝트의 Downtime을 조사·분석하였다.

• 한국신뢰성학회:학술대회논문집
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• 한국신뢰성학회 2000년도 추계학술대회
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• pp.329-333
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• 2000

Delay time analysis is a pragmatic mathematical concept readily embraced by engineers which has been developed as a means to model maintenance decision problem. This paper considers an inspection period using delay time analysis for fishing vessel equipment. We assume that delay time distribution is Weibull and inspections are perfect. In this paper, we determine the optimal inspection period which minimize the expected downtime per unit time.

• 인터넷정보학회논문지
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• 제24권6호
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• pp.137-144
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• 2023

사이버 공격 기술은 예측 불가할 정도로 진화하고 있으며, '언젠가는'이 아니라 '언제나' 일어날 수 있는 상황이다. 클라우드 컴퓨팅, 사물인터넷(Internet of Things) 등으로 초연결 글로벌화되고 있는 인프라는 그 어느 때보다 사이버 공격에 큰 피해를 받을 수 있는 환경이며, 사이버 공격은 지금도 진행 중이다. 사이버 공격이나 천재지변 등 외부적인 영향으로 피해가 발생하더라도 사이버 자산(OS, WEB, WAS, DB)의 다운 타임을 최소화하기 위해 사이버 레질리언스 관점에서 지능형 자가복구로 진화해야 한다. 본 논문에서는 사이버 자산이 사이버 공격을 받아 고유의 기능이 제대로 발휘하지 못할 경우 지속가능한 사이버 레질리언스를 보장하기 위한 지능형 자가복구기술을 제안한다. 평상시 사이버 자산의 원본 및 업데이트 이력을 타임슬롯 설계 및 스냅샷 백업 기술로 실시간 관리한다. 상용화된 파일 무결성 모니터링 프로그램과 연동하여 피해 상황을 자동 탐지하고 지능형 기반으로 피해 파일에 대한 백업 데이터의 연관성 분석을 통해 사이버 자산의 다운타임을 최소화하여 최적의 상태로 자가복구할 수 있는 기술을 확보해야 한다. 향후에는 사이버 자산이 피해 받은 상태에 적합한 자가복구 전략 학습 및 분석을 수행할 수 있는 운영모델과 자가복구기술의 고유기능이 적용된 시범체계 연구를 수행할 예정이다.

• 한국시뮬레이션학회:학술대회논문집
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• 한국시뮬레이션학회 1999년도 추계학술대회 논문집
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• pp.224-228
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• 1999

When we construct a manufacturing plant, optimal design is very important. This paper is to simulate an engine manufacturing flow line for commercial vehicle. The parameters we consider in simulation include facility downtime, tool change time, buffer size between consecutive stations, and time to repair the facility. We use AutoMod to compare the alternatives. The objective is to minimize the total cost. Simulation results provide significant cost saving by improving the current design and policy.

• 품질경영학회지
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• 제47권1호
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• pp.75-86
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• 2019

Purpose: It is essential for the steel industry to produce steel products without unexpected downtime to reduce costs and produce high quality products. A hot strip rolling mill consists of many mechanical and electrical units. In condition monitoring and diagnosis, various units could fail for unknown reasons. Methods: In this study, we propose an effective method to detect units with abnormal status early to minimize system downtime. The early warning problem with various units was first defined. An autoencoder was modeled to detect abnormal states. An application of the proposed method was also implemented in a simulated field-data analysis. Results: We can compare images of original data and reconstructed images, as well as visually identify differences between original and reconstruction images. We confirmed that normal and abnormal states can be distinguished by reconstruction error of autoencoder. Experimental results show the possibility of prediction due to the increase of reconstruction error from just before equipment failure. Conclusion: In this paper, hot strip roughing mill monitoring method using autoencoder is proposed and experiments are performed to study the benefit of the autoencoder.

• 품질경영학회지
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• 제45권1호
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• pp.25-38
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• 2017

Purpose: Hot strip rolling mill consists of a lot of mechanical and electrical units. In condition monitoring and diagnosis phase, various units could be failed with unknown reasons. In this study, we propose an effective method to detect early the units with abnormal status to minimize system downtime. Methods: The early warning problem with various units is defined. K-means and PAM algorithm with Euclidean and Manhattan distances were performed to detect the abnormal status. In addition, an performance of the proposed algorithm is investigated by field data analysis. Results: PAM with Manhattan distance(PAM_ManD) showed better results than K-means algorithm with Euclidean distance(K-means_ED). In addition, we could know from multivariate field data analysis that the system reliability of hot strip rolling mill can be increased by detecting early abnormal status. Conclusion: In this paper, clustering-based monitoring and fault detection algorithm using Manhattan distance is proposed. Experiments are performed to study the benefit of the PAM with Manhattan distance against the K-means with Euclidean distance.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.1137-1140
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• 2005

Automatic welding has been used frequently on pipeline projects. The productivity and reliability are most essential features of the automatic welding system. The mechanized GMAW process is the most widely used welding process and the carriage and band system is most effective welding system for pipeline laying. This application-oriented paper introduces new automatic welding equipment for pipeline construction. It is based on cutting-edge design and practical welding physics to minimize downtime. This paper also describes the control system which was designed and implemented for new automatic welding equipment. The system has the self diagnostic function which facilitates maintenance and repairs, and also has the network function via which the welding task data can be transmitted and the welding process data can be monitored. The laser vision sensor was designed for narrow welding groove in order to implement higher accuracy of seam tracking and fully automatic operation.

• 한국신뢰성학회지:신뢰성응용연구
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• 제16권3호
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• pp.257-262
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• 2016

Recently, the subject of reliability attracts a great deal of domestic and international attentions and the extensive research activities are being conducted as well. Such trend exists mainly due to the fact that the research on the subject of reliability not only contributes to the theoretical developments, but also may find a wide range of applications in practice over several fields. In particular, the research regarding the maintenance policy incorporating certain types of warranty for repairable system and its application is being performed extensively by many researchers, and their efforts seem more concentrated on developing new maintenance policies which minimize the expected operating cost incurred for replacement and repair of the system, while keeping the system at high reliability. Effective maintenance policy may reduce the operating cost and decrease the downtime of the system during its mission period and consequently, increase the productivity of the system. In this article, the major areas of interest in the field of reliability and its historic perspectives are given briefly and the theoretical aspects in several fields of reliability including the maintenance and warranty policies is also discussed. Furthermore, the current domestic situation regarding the education and research on reliability is presented, along with the importance of reliability theory and the difficulty of training reliability personnel. Finally, the author's opinion for effective education system is proposed.