• 한국컴퓨터정보학회논문지
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• 제24권7호
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• pp.125-133
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• 2019

Because military weapons systems for special purposes are small and complex, they are not easy to maintain. Therefore, it is very important to maintain combat strength through quick maintenance in the event of a breakdown. In particular, naval ships are complex weapon systems equipped with various equipment, so other equipment must be considered for maintenance in the event of equipment failure, so that skilled maintenance personnel have a great influence on rapid maintenance. Therefore, in this paper, we analyzed maintenance data of defense equipment maintenance information system through text mining and social network analysis(SNA), and tried to identify the naval ship maintenance expertise. The defense equipment maintenance information system is a system that manages military equipment efficiently. In this study, the data(2,538cases) of some naval ship maintenance teams were analyzed. In detail, we examined the contents of main maintenance and maintenance personnel through text mining(word cloud, word network). Next, social network analysis(collaboration analysis, centrality analysis) was used to confirm the collaboration relationship between maintenance personnel and maintenance expertise. Finally, we compare the results of text mining and social network analysis(SNA) to find out appropriate methods for finding and finding naval ship maintenance expertise.

• 산업경영시스템학회지
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• 제38권3호
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• pp.100-107
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• 2015

Recently as the manufacturers want competitiveness in dynamically changing environment, they are trying a lot of efforts to be efficient with their production systems, which may be achieved by diminishing unplanned operation stops. The operation stops and maintenance cost are known to be significantly decreased by adopting proper maintenance strategy. Therefore, the manufacturers were more getting interested in scheduling of exact maintenance scheduling to keep smooth operation and prevent unexpected stops. In this paper, we proposedan integrated maintenance approach in injection molding manufacturing line. It consists of predictive and preventive maintenance approach. The predictive maintenance uses the statistical process control technique with the real-time data and the preventive maintenance is based on the checking period of machine components or equipment. For the predictive maintenance approach, firstly, we identified components or equipment that are required maintenance, and then machine parameters that are related with the identified components or equipment. Second, we performed regression analysis to select the machine parameters that affect the quality of the manufactured products and are significant to the quality of the products. By this analysis, we can exclude the insignificant parameters from monitoring parameters and focus on the significant parameters. Third, we developed the statistical prediction models for the selected machine parameters. Current models include regression, exponential smoothing and so on. We used these models to decide abnormal patternand to schedule maintenance. Finally, for other components or equipment which is not covered by predictive approach, we adoptedpreventive maintenance approach. To show feasibility we developed an integrated maintenance support system in LabView Watchdog Agent and SQL Server environment and validated our proposed methodology with experimental data.

• 항공우주시스템공학회지
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• 제8권2호
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• pp.14-20
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• 2014

MRO is important concept in military logistics. It is required to reforming military budget and manpower because of decreasing troops and other factors. For this reason, military logistics needs to change and improvement. MRO is necessary concept in this situation. In that case, How improve Naval Weapons Systems MRO for this changing time? For example, ROK air force applies Aerospace MRO industries in their Weapons Systems. But, ROK navy's MRO concept is uncertain and current MRO is divided just three step, Organizational Maintenance, Field Maintenance, Depot Maintenance. So it is time to develop systematic MRO concept for improving Naval Weapons Systems and Logistics. In this research, This0 study is about expanded application of PBL and the need to make relationship between Private enterprise and Military.

• 해양환경안전학회지
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• 제22권2호
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• pp.233-239
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• 2016

본 연구에서는 LNG-FPSO 선박에 탑재되어 있는 장비들의 운영효율을 최대화하기 위한 상태기반유지보수(CBM) 활동을 지원하는 보전시스템을 개발하였다. 개발된 보전시스템에서는 상태기반유지보수를 수행할 주요 장비들을 식별하여 이를 PWBS(Product Work Breakdown Structure)로 정의하였고 식별된 장비들로부터 실시간 수집되는 센서데이터를 이용하여 장비들의 고장분석과 최적 유지 보수 방안을 결정하기 위한 경제성평가 등을 수행하며, 이들을 수행하기 위해 필요한 입출력 데이터를 저장, 관리하는 고장사례 및 유지보수데이터베이스를 구축하였다. 개발시스템의 성능검증을 현재 개발 중인 LNG-FPSO 선박의 Inlet 시스템의 Compressor와 화물창의 Pump Tower 등과 같은 주요 장비들을 대상으로 실시하였고 이를 바탕으로 상태기반유지보수의 가능성을 확인하였다.

• 대한조선학회논문집
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• 제50권3호
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• pp.129-137
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• 2013

Each owner or operator of offshore products uses a maintenance management system like CMMS(Computerized Maintenance Management System) in order to manage their assets effectively and efficiently for a long time. But most of maintenance management systems have been focused on machinery items, not on 'Hull' until now. On the other hand, classifications like ABS, DNV, GL are having a sale on hull inspection and maintenance system for ships and an interest in hull maintenance system is increasing because of the application of EDD(Extended Dry Docking). This paper discusses the concept, inspection process and the practical application of Hull maintenance for Semi-submersible drilling rig to extend the service life and run a stable operation.

• 항공우주시스템공학회지
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• 제10권4호
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• pp.67-74
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• 2016

한국형 상태기준정비는 현재 한국해군 함정에 설치된 ICAS를 최대한 활용하여 전투준비태세를 완비하고, 선제적 정비/보급 지원과 군수자산의 경제적 운용, 데이터 기반 장비수명관리를 위한 것이다. 이러한 목적을 달성하기 위해서는 장비상태의 기준을 설정해야 하는데 이는 제작사에서 원천적인 기술을 제공하고 있지 않아 각 장비별 성능 맵 확보가 필요하고 고장패턴 등의 자료 축적이 필요하다. 본 연구에서는 소형 가스터빈엔진을 활용하여 가스터빈 성능 맵을 확인하고 고장정보를 축적하여 실시간으로 장비성능 확인과 성능 경향을 나타내게 하였고 이를 통해 운용자의 행동지침과 정비자의 검사 절차등을 명시하여 최적의 장비상태가 유지 될 수 있도록 솔루션을 개발하였다. 본 연구를 기반으로 실제 함정의 데이터를 이용한 상태진단기법 발전에 활용할 예정이다.

• 대한조선학회논문집
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• 제47권5호
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• pp.751-756
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• 2010

The rapid growth of IT technology has enabled ship automation systems to gain better functionality and safety with reduced costs and crew numbers. Nowadays, the remote maintenance services for the systems are required because a ship may be located in a very remote area. To provide the remote maintenance services, some issues such as how to collect the ship automation systems data, how to monitor a ship's data from onshore offices, how to get support from experts while sailing, and how to reduce the maintenance costs, should be addressed. In this paper, we propose a remote ship maintenance system for remote monitoring and diagnostics of ship automation systems, which is based on both a ship area network to integrate separate system networks and a ship-shore communication infrastructure to support a remote access using satellite communications. Finally, we present the function test to verify the applicability of the proposed system.

• 한국해양공학회지
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• 제26권5호
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• pp.63-72
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• 2012

The product lifecycle of a marine vessel can be classified into the design-production, operation-maintenance, and disposal phases. During the operation and maintenance phase, status data should be gathered from the major machinery and instruments installed on the marine vessel in order to perform efficient maintenance work. Although a PLM (product lifecycle management) system can manage the product information during the design and assembly stage, a PLM based on asset management technology is more appropriate for product information management during the operation stage. Product embedded information devices (PEIDs) are suggested for gathering real-time maintenance information during the operation and maintenance lifecycle. A PEID allows PLM to provide the capability of offering active information exchange between the lifecycle management system and equipment. This study designed a PEID to effectively obtain information and interact with a PLM system. It consists of sensors, wireless communication, and a micro-processor, which allow it to accumulate status data on the PLM system. The embedded information device and PLM enable the seamless information flow, tracking, and updating of MRO (maintenance repair and overhaul) information for a product throughout the middle of the product lifecycle.

• 한국산학기술학회논문지
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• 제16권3호
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• pp.1853-1862
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• 2015

해군 정비체계는 전투함정을 수리하는 역할을 수행한다. 한국 해군은 전투함정의 전비태세를 최대화하기 위해 4개의 정비창을 운용하고 있다. 각 정비창은 함정 유형, 정비 종류, 정비 능력에 따라 다른 정비 서비스를 제공하는 특성으로 인해 정비인력을 각 정비창에 최적으로 할당하는 것은 어려운 문제가 되고 있다. 이에 따라 본 연구에서는 정비창의 성능척도에 중요한 영향을 미치는 정비인력의 할당 측면에서 정비창의 운용을 연구하였다. 대기행렬 네트워크 이론, 분해 및 최적화 기법을 이용하여 본 연구에서는 정비체계 내 대기 중인 고장 함정의 수를 최소화할 수 있는 정비인력 할당 모형을 제시한다.

• 대한조선학회논문집
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• 제47권2호
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• pp.258-264
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• 2010

Various kinds of ballast water treatment systems (BWTS) have been developed corresponding to reinforced IMO rules for marine environment. Some of them got the certificate of IMO and others are waiting for it. Selection of optimum BWTS is very important. Optimum BWTS means not only functional requirements but also economic efficiency. This paper presents economic analysis model for optimum BWTS according to ship type and size. In this study 10 kinds of BWTS whose initial installation cost and maintenance cost are known are analyzed based on present worth method. It is assumed that all BWTS satisfy minimum functional requirements and we need to consider different economical efficiency. Through the economic analysis we could select optimum BWTS.