• 한국군사과학기술학회지
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• 제25권5호
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• pp.530-538
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• 2022

Recently, the R&D of weapon systems has been strengthened in terms of economic cost management throughout the entire life cycle from performance. This study proposes the method for setting the optimal maintenance concept based on RAM-C in weapon system acquisition stage by calculating the operation & maintenance cost as well as reliability, availability, and maintainability. First, we design a simulation model for analysis of weapon system logistic supportability. In addition, information such as weapon system Part Breakdown Structure, operation & maintenance system, cost, and etc for simulation analysis, is applied. Based on the obtained simulation results, the optimal plan is selected among alternatives designed with various maintenance concepts through normalization and weight setting. It is expected to be of technical help in the application of RAM-C in the weapon system acquisition stage.

• 대한공업교육학회지
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• 제44권2호
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• pp.86-103
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• 2019

이 연구는 기계설비유지관리자 양성을 위한 교육훈련 프로그램 개발의 기초자료를 마련하는데 목적이 있다. 이를 위해 DACUM 기법을 활용하여 직무분석을 실시하고 전문가 협의회를 통해 교육훈련 프로그램(안)을 개발하였다. 직무분석은 10명으로 구성된 데이컴 위원회를 중심으로 기계설비유지자 직무정의, 직무모형, 직업명세서, 작업명세서를 도출하였다 주요 연구결과는 첫째, 기계설비유지관리자는 기계설비에 대한 운용, 점검, 진단, 보수를 통하여 최상의 성능과 효율적인 운영을 할 수 있도록 하며 안전하고 쾌적한 환경을 제공하고 에너지 절감과 설비수명 연장을 위한 업무를 수행하는 자로 정의하였다. 둘째, 직무모형에 분석된 기계설비유지관리자의 책무는 기계설비운영 종합계획, 기계설비 에너지관리, 기계설비 운영관리, 기계설비 정비관리, 기계설비 안전환경관리, 기계설비 보수공사관리, 기계설비 고객지원관리로 구성되어 있다. 책무 특성 및 내용을 고려하여 하나의 책무(duty)당 4~11개의 작업(task)이 도출되어 총 33개 작업을 직무모형으로 제시하였다. 셋째, 기계설비유지관리자 교육과정은 기계설비 관리실무I과 기계설비 관리실무II의 2개 과목으로 설정하였다. 연구결과를 토대로 교육훈련프로그램 적용 및 활용시 고려사항과 정책 제언을 제시하였다.

• 한국항공운항학회지
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• 제18권2호
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• pp.46-53
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• 2010

In the aspect of the nature of aircraft maintenance work on divisible tasks carried out by a wide range of operation and expertise, any information transmission problems will not only cause a threat to flight safety but also reduce productivity by keeping the team from fulfilling its mission of delivering aircraft with airworthiness. In this regard, this study firstly identify the current status of information of aircraft maintenance and factors disturbing information transmission. Then, this article also find out the level of information culture of the AMT(Aircraft Maintenance Technicians) and problems in using information. Finally, suggestions on the model of the positive information culture in a field of aircraft maintenance through efficient use of the information including safety will be followed.

• 산업경영시스템학회지
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• 제43권3호
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• pp.41-52
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• 2020

This paper investigates the stress-reducing preventive maintenance model through numerical experiments. The preventive maintenance model is used to analyze the relationship between related conditions and variables to gain insight into the efficient operation of the system when performing preventive maintenance in real-world situations. Various preventive maintenance models have been developed over the past decades and their complexity has increased in recent years. Increasing complexity is essential to reflect reality, but recent models can only be interpreted through numerical experiments. The stress-reducing preventive maintenance is a newly introduced preventive maintenance concept and can only be interpreted numerically due to its complexity, and has received little attention because the concept is unfamiliar. Therefore, for information purposes, this paper investigates the characteristics of the stress-reducing preventive maintenance and the relationship between parameters and variables through numerical experiments. In particular, this paper is focusing on the economic feasibility of stress-reducing preventive maintenance by observing changes in the optimal preventive maintenance period in response to changes in environmental stress and the improvement factor. As a result, when either the environmental stress or the improve effect of stress-reducing preventive maintenance is low, it is not necessary to carry out the stress-reducing preventive maintenance at excessive cost. In addition, it was found that the age reduction model is more economical than the failure rate reduction model.

• 한국조명전기설비학회:학술대회논문집
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• 한국조명전기설비학회 2007년도 춘계학술대회 논문집
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• pp.224-228
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• 2007

It is focused on a methodology to establish a optimal inspection cycle of electrical facility of railroad Decision method of optimal inspection cycle is a process which establishes maintenance plan for facilities' immanent function as using reliability theory in operation term In order to ensure normal operation in a given condition, the decision method is logical for selecting effective maintenance plan to consider characteristic of system In estimation of failure rate, critical facility is selected firstly. After that, proper distribution function on each facility is decided to investigate distribution function for extraction of failure rate. Next, cost produced by the case that facility's failure is occurred is surveyed. Finally, maintenance method developed until now is investigated, before suitable model for the facility applying maintenance method is developed, and that maintenance decision is made. Therefore, this process is the method to find optimal inspection cycle for reasonable cost and effective reliability on facility.

• KEPCO Journal on Electric Power and Energy
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• 제3권2호
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• pp.119-125
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• 2017

Regarding the implementation of ROMM project (Rehabilitation, Operation, Maintenance & Management), which is one of overseas development projects, it is very important to diagnose the exact current status of aged thermal power plant. However, when people visit the power plant for the purpose of prediagnosis to implement the ROMM project, most target power plants for diagnosis, in general, are under operation. This can be a big interference factor to diagnose the exact current status of power plants. Therefore, in order to solve such interference factor, based on the 30 years of know-how in the field, the present study has developed a regression curve for a simple life time assessment and the calculation of rehabilitation cost that may be used as a reference relatively for the quantitative diagnosis on the status of a relevant power plant even during the operation of the power plant.

• Structural Monitoring and Maintenance
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• 제1권3호
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• pp.249-271
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• 2014

This paper presents a unique study of Structural Health Monitoring (SHM) for the maintenance decision making about a real life movable bridge. The mechanical components of movable bridges are maintained on a scheduled basis. However, it is desired to have a condition-based maintenance by taking advantage of SHM. The main objective is to track the operation of a gearbox and a rack-pinion/open gear assembly, which are critical parts of bascule type movable bridges. Maintenance needs that may lead to major damage to these components needs to be identified and diagnosed timely since an early detection of faults may help avoid unexpected bridge closures or costly repairs. The fault prediction of the gearbox and rack-pinion/open gear is carried out using two types of Artificial Neural Networks (ANNs): 1) Multi-Layer Perceptron Neural Networks (MLP-NNs) and 2) Fuzzy Neural Networks (FNNs). Monitoring data is collected during regular opening and closing of the bridge as well as during artificially induced reversible damage conditions. Several statistical parameters are extracted from the time-domain vibration signals as characteristic features to be fed to the ANNs for constructing the MLP-NNs and FNNs independently. The required training and testing sets are obtained by processing the acceleration data for both damaged and undamaged condition of the aforementioned mechanical components. The performances of the developed ANNs are first evaluated using unseen test sets. Second, the selected networks are used for long-term condition evaluation of the rack-pinion/open gear of the movable bridge. It is shown that the vibration monitoring data with selected statistical parameters and particular network architectures give successful results to predict the undamaged and damaged condition of the bridge. It is also observed that the MLP-NNs performed better than the FNNs in the presented case. The successful results indicate that ANNs are promising tools for maintenance monitoring of movable bridge components and it is also shown that the ANN results can be employed in simple approach for day-to-day operation and maintenance of movable bridges.

• 한국신뢰성학회지:신뢰성응용연구
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• 제18권2호
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• pp.104-113
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• 2018

Purpose: This paper proposes the non-periodic preventive maintenance policy based on the level of cumulative hazard intensity. We aim to construct a cost-effectiveness on the proposed model with relaxing the constraint on reliability. Methods: We use the level of cumulative hazard intensity as a condition variable, instead of reliability. Such a level of cumulative hazard intensity can derive the reliability which decreases as the frequency of preventive maintenance action increases. We also model the imperfect preventive maintenance action using the proportional age setback model. Conclusion: We provide a numerical example to illustrate the proposed model. We also analyze how the parameters of our model affect the optimal preventive maintenance policy. The results show that as long as high reliability is guaranteed, the inefficient preventive maintenance action is performed reducing the system operation time. Moreover, the optimal value of the proposed model is sensitive to changes in preventive maintenance cost and replacement cost.

• 한국항행학회논문지
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• 제26권6호
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• pp.373-379
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• 2022

KASS (korea augmentation satellite system)는 국제민간항공기구 (ICAO; international civil aviation organization)의 항공통신 관련 국제표준권고 (SARPs Annex 10)에 따른 항공용 서비스 성능이 보장되어야 하는 한국형 SBAS (satellite based augmentation system) 이다. 목표 서비스 성능의 보장을 위해서는 운영 시스템이 안정적으로 동작하고 유지, 관리되어야 하며 이를 위해 유지보수 체계가 확립되어야 한다. 유지보수 관점에서 KASS 하위시스템을 교체유닛 단위로 정의하고 유지보수 조직, 유지보수 절차를 정의하였다. 또한, 유지보수 수행을 위한 교체유닛 단위의 유지보수 임무를 산출하였으며 산출된 임무가 앞서 정의된 교체유닛 단위를 충분히 포괄하는지 검증하였다. 본 연구를 통해 산출된 유지보수 임무는 2023년 말 본격적인 항공용 서비스 제공 전, 실 운영 준비과정에서 검증될 것이며 지속해서 업데이트될 것이다.

• 한국정보통신학회논문지
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• 제21권11호
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• pp.2052-2060
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• 2017

SOLAS 선박은 SFI group 코드 기준으로 적어도 83종의 장비를 탑재해야 하고, 각각의 장비는 다시 수 개에서 수십 개의 컴포넌트로 구성이 된다. 선박 운항 중에는 이러한 장비의 정상적인 운영이 보장되어야 하고, 문제 발생시 즉각적인 수리를 위하여 원격유지보수의 요구사항이 높다. 본 연구는 항해통신장비의 원격유지보수에 적합한 장비의 분류체계를 제시하고, 적절한 데이터베이스 구조를 도출하고자 했다. 연구 결과, 선박 항해통신장비의 원격유지보수를 위하여, 장비의 분류체계는 장비의 종류, 모델, 컴포넌트로 계층화되어야 하고, 고장모드와 영향분석, 질의응답, 수리이력, 상태정보와 예방정비 등의 테이블을 장비 모델 기준으로 구축하는 것이 효과적임을 알게 되었다. 140개의 항해통신장비 모델과 750개의 컴포넌트에 대하여 데이터베이스를 구축하였고, 실질적인 효과를 평가하기 위하여 선박장비 수리전문가가 클라우드 앱을 이용하여 검색 결과의 유용성을 평가하였다.