Considering the features of body repair for automotive body where same damage and repair conditions does not exist in car accident, it is essential to acquire know-how and continuously approach new materials and new technologies on the site of maintenance where the theoretical instruction of textbook cannot react accurately minute by minute. Especially, in case of car repair from unexpected accidents such as body repair or dent repair, it is difficult to satisfy vehicle owners despite their request. Accordingly, this study researched the better maintenance technology to restore to its original state with more improved technology as vehicle owners wish. This study made time to repair reduced by 98% and the cost reduced by 79.6% through the accurate diagnostic technique before repair and maintenance technologies of body crash analysis applying property of high-speed tensile. It also obtains intangible effects including prevention of environmental pollution and maximization of vehicle owners satisfaction.

Predictive maintenance has been one of important applications of data science technology that creates a predictive model by collecting numerous data related to management targeted equipment. It does not predict equipment failure with just one or two signs, but quantifies and models numerous symptoms and historical data of actual failure. Statistical methods were used a lot in the past as this predictive maintenance method, but recently, many machine learning-based methods have been proposed. Such proposed machine learning-based methods are preferable in that they show more accurate prediction performance. However, with the exception of some learning models such as decision tree-based models, it is very difficult to explicitly know the structure of learning models (Black-Box Model) and to explain to what extent certain attributes (features or variables) of the learning model affected the prediction results. To overcome this problem, a recently proposed study is an explainable artificial intelligence (AI). It is a methodology that makes it easy for users to understand and trust the results of machine learning-based learning models. In this paper, we propose an explainable AI method to further enhance the explanatory power of the existing learning model by targeting the previously proposedpredictive model [5] that learned data from a core facility (Hyper Compressor) of a domestic chemical plant that produces polyethylene. The ensemble prediction model, which is a black box model, wasconverted to a white box model using the Explainable AI. The proposed methodology explains the direction of control for the major features in the failure prediction results through the Explainable AI. Through this methodology, it is possible to flexibly replace the timing of maintenance of the machine and supply and demand of parts, and to improve the efficiency of the facility operation through proper pre-control.

자율주택정비사업은 노후저층주거지 개량을 위한 소규모주택정비사업의 유형 중 하나이다. 본 연구는 자율주택정비사업이 일부 지역에 편중되어 시행되는 점을 확인하고 현재까지 추진된 사업 세부내용의 지역별 차이를 비교 분석하고, 사업추진의 지역차 가 발생하는 원인을 설명할 수 있는 이론적 접근방법을 탐색하는 것이 목적이다. 이를 위해서 자율주택정비사업의 개념과 특성에 대해 살펴보고 자율주택정비사업 및 관련 분야에 대한 선행연구를 검토한 후, 2018년 이후 준공된 전국 자율주택정비사업 추진현황 을 지역별로 비교 검토하였다. 그 결과 사업 특성 중 사업면적, 사업성에 영향을 미치는 요인, 사업 소요기간이 지역별로 유의한 차이가 있다고 분석되었다. 이론적으로 이러한 지역 격차는 중앙정부의 정책을 지방정부의 도시관리자가 실현하는 과정에서 지역에 내재한 제약과 행위 특성이 반영된 결과로 해석할 수 있다. 연구결과는 향후 자율주택정비사업 활성화를 위한 법령 등을 개정할 때 직접적이고 실증적인 근거자료로 활용될 것으로 기대한다.

다양한 산업에서 강조되고 있는 정비의 중요성은 각 분야에 다양한 정비전략을 적용하도록 만들었다. 해양산업 역시 그에 따른 정비전략의 변화가 있었으나 타 산업 대비 그 속도가 느려 실제 적용이 되지 않은 채 과거 시행되고 있던 방식을 유지하는 경우가 많다. 특히 선박은 기존에 행해왔던 방식의 정비전략을 사용하고 있는 편이며 해상의 조건에서 선박은 새로운 정비전략의 개발을 필요로 하고있다. 이에 선박예지정비모델은 기기의 정비가 필요한 시점을 예지하여 조치할 수 있는 정비전략으로서 선박이 항해 중에 처할 수 있는 정비 관련 위험요소들을 줄여 주는 모델이다. 본 연구는 선박예지정비모델의 개발을 위한 연구 중의 하나로서, LNG선박 입거사양서의 텍스트 데이터 분석을 통한 결과를 원문의 내용을 바탕으로 해석해보았다. 공통된 정비항목 조합을 도출하여 선박 내 다른 기기들 사이에 작용하고 있는 상호연관성을 발견하고 이를 앞으로 개발될 선박예지정비모델에 적용하고자 한다.

해양 운송 산업은 특성상 항공 및 철도 등의 다른 운송 산업보다 비교적 늦게 신기술이 적용되는 산업이다. 현재 대부분의 선박은 기계장치 및 시스템에 문제가 발생하거나 운용 시간 기반으로 정비를 하는 사후 정비(Corrective Maintenance, CM)와 예방 정비 (Preventive Maintenance, PM)에 속하는 시간 기반 정비(TBM, Time Based Maintenance)가 적용되고 있다. 그러나 높은 유지보수 비용이 요구되고, 육상의 즉각적인 지원이 어려우며, 선박이 멈추면 즉시 위험에 노출되는 해양 환경에서 운영되는 선박에서 과도한 단순 정비로 인한 인력과 비용 낭비, 예측되지 못한 고장 및 결함으로 유발되는 사고 등으로 인해 운용 효율화 측면에서 기존 정비법에 대한 한계점이 문제시 되고 있다. 예지 정비(Predictive Maintenance, PdM)는 진보된 기술로 기계의 상태 및 성능을 모니터링하여 고장시기를 예측하여 정비하는 방법으로 핵심 기계장치가 항상 최상의 작동 상태를 효율적으로 유지할 수 있도록 한다. 본 논문은 해양 환경에서 PdM의 적용성에 중점을 둔 해양 예지 정비(MPdM, Maritime Predictive Maintenance)에 대해 고안하였으며, 제시된 MPdM은 지리적 고립과 극한 해양 상황 등 해양 운송 산업의 특수한 환경을 고려하여 설계되었다. 본 논문은 선진 미래 해양 운송을 가능하게 하는 MPdM이라는 개념과 그 필요성을 제안한다.

In the process of cutting large aircraft parts, the tool may be abnormally worn or damaged due to various factors such as mechanical vibration, disturbances such as chips, and physical properties of the workpiece, which may result in deterioration of the surface quality of the workpiece. Because workpieces used for large aircrafts parts are expensive and require strict processing quality, a maintenance plan is required to minimize the deterioration of the workpiece quality that can be caused by unexpected abnormalities of the tool and take maintenance measures at an earlier stage that does not adversely affect the machining. In this paper, we propose a method to indirectly monitor the tool condition that can affect the machining quality of large aircraft parts through real-time monitoring of the current signal applied to the spindle motor during machining by comparing whether the monitored current shows an abnormal pattern during actual machining by using this as a reference pattern. First, 30 types of tools are used for machining large aircraft parts, and three tools with relatively frequent breakages among these tools were selected as monitoring targets by reflecting the opinions of processing experts in the field. Second, when creating the CNC machining program, the M code, which is a CNC auxiliary function, is inserted at the starting and ending positions of the tool to be monitored using the editing tool, so that monitoring start and end times can be notified. Third, the monitoring program was run with the M code signal notified from the CNC controller by using the DAQ (Data Acquisition) device, and the machine learning algorithms for detecting abnormality of the current signal received in real time could be used to determine whether there was an abnormality. Fourth, through the implementation of the prototype system, the feasibility of the method proposed in this paper was shown and verified through an actual example.

Currently, there are two types of trainer in Korea : basic and advanced. Both models have been in operation for more than 10 years, and compared to the early stage of operation, reliability has gradually improved and failure rates have also entered a trend of stabilization. Therefore, it is necessary to extend the maintenance period considering economic feasibility. This study investigates the three maintenance period calculation methods: NAVAIR 00-25-403 [17], DOD, U.S. [4], CERL and US Army [3], with intention to extend the maintenance period of the trainer from current 200 hours to 400 hours. In addition, the maintenance period was calculated by the three methods with actual operational data. Common standards and procedures were established to apply operational data to the existing maintenance period calculation methods, the required reliability indicators were derived, and the maintenance periods was calculated based on the results, additionally, a review on the field applicability of the three maintenance cycles was conducted. An on-site interviews were conducted with the calculation results, and 11 out of the 15 items were expected to be extended by 400 hours. It was suggested that the remaining 4 items could be extended to 400 hours by supplementing the inspection method through additional analysis such as functional analysis, inspection content verification, and site connection.

Valves are widely used in various industrial fields, such as plants, vessels and shipbuilding. In particular, the performance of the valve is an important factor that can influence the performance of the entire system. Therefore, in this basic study to establish a national technical qualification in the domestic field of valve maintenance, demands for the fields of valves and major congruence were analyzed focusing on the industrial facility curriculum of Korea Polytechnics, and level-differentiated trial examinations were applied to relevant majors to standardize the developed valve tester. The trial examination result displayed that in the highest level of difficulty, in the medium level of difficulty and in the lowest level of difficulty, the pass rate was 0%, 17.86% and 39.29% respectively.

The desulfurizers facility is cylindrical shape. To operate properly it needs nozzles cleaned, get rid of lime adhesion and sludge, repair the wear and corrosion of facility regularly. For this purpose, workers shall access the ceiling or vertical wall at high place. Ordinary scaffoldings such as steel pipe scaffolding or system scaffolding have been using so that workers can access them. With these ordinary scaffoldings, openings around cylindrical wall are inevitable which make workers can expose always to the risk of falling. The purpose of this study is to develop customized scaffolding to minimize the openings to prevent workers form falling during maintenance it. It consists of a hexagonal central tower and six trapezoidal outer towers. And the bracing among the towers have connected each other for self-standing and for maintaining the structure of towers. Span decks, the circumference footstools, steps, etc. are laid on each floor. The safety is reviewed by structural analysis and performance test. With this study, openings each floor of this scaffold are removed. The gap between the cylindrical wall and the edge of the work stage is approximately 100 mm. Therefore, we expect that workers can work safely and efficiently.

Since sewer rehabilitation program requires long construction period and enormous capital investment, determination of rehabilitation priorities is important with systematic planning considering appropriate evaluation parameters. In this research, we applied PROMETHEE(Preference Ranking Organization METHod for Evaluations) known as very objective and scientific multi-criteria decision-making analysis, using the weights determined by AHP(Analytic Hierarchy Process) for the selected sewer evaluation items to calculate the rehabilitation priorities for each sewer sub-catchment in basin Gusan 1 of Seoul. Preference functions and preference thresholds were estimated for each criterion of ratio of lack of hydraulic capacity of sewers, defect ratio, ratio of sewers with velocity less than its minimum criteria, and density of sewers in the sub-catchment. As a result, it was found that region d had the first priority among four sub-catchments. For each and every sewer located in region d, we could also rank sewers to be rehabilitated urgently.

This study is to improve the efficiency of BTL (Build Transfer Lease) project operation by comparing the infiltration rate based on the data of 5 years of infiltration of the separate sewer system and combined sewer system. In the survey site, the separate sewer system area consists of eight flowmeters in seven treatment basins, and the combined sewer system area consists of eight flowmeters in five treatment basins. The infillration rate was analyzed by night-time domestic flow evaluation method, and the average infiltration rates of the separate sewer system and combined sewer system were 13% and 16%, respectively. Combined sewer system was about 1.3 times higher than the separate sewer system. The average BOD of separate sewer system was 233 mg/L, which was about 2.4 times higher than the combined sewer system was 107 mg/L. In the comparison of the average pipe diameter-length infiltration of separate sewer system and combined sewer system, the separate sewer system and the combined sewer system were about 0.150 m3/d/mm/km and about 0.109 m3/d/mm/km, respectively. The floating population in mixed residential and commercial areas has been identified as the cause. Therefore, we propose a method to calculate the infiltration rate in consideration of the margin ratio in the area where the night active population is concentrated.

This study examines the transitional situation that can be seen from the palace operation in early Joseon Dynasty. The first decades of Joseon after the nation was founded differ from the Joseon Dynasty as a whole, but rather similar with the Goryeo Dynasty. By examining “The History of Goryeo(高麗史),” it showed that palace operation during the Goryeo Dynasy was marked by the fact that a separate palace was built and resided in despite the existence of the Bongweol(本闕, main palace) as the central palace. The separation of the parent’s generation and the children’s generation was shown through the establishment of one’s own palace. Such trait of Goryeo affected palace construction directly after the founding of Joseon. This can be shown from the characteristic of palace operation by generation. The construction of the Changdeokgung Palace(昌德宮) of King Taejong, as his own palace, is an example. Afterwards, the palace system of Joseon was established, and the space of the king and the crown prince was merged through ritual reform during the reign of King Sejong. However, the space for the parents of the king were considered separate, and this influence continued to the reign of King Seongjong. The construction of Changgyeonggung Palace(昌慶宮) during the reign of King Seongjong is an event where the king proclaimed the separation with his mother and grandmother.

Considering the features of body repair for automotive body where same damage and repair conditions does not exist in car accident, it is essential to acquire know-how and continuously approach new materials and new technologies on the site of maintenance where the theoretical instruction of textbook cannot react accurately minute by minute. Especially, in case of car repair from unexpected accidents such as body repair or dent repair, it is difficult to satisfy vehicle owners despite their request. Accordingly, this study researched the better maintenance technology to restore to its original state with more improved technology as vehicle owners wish. This study made time to repair reduced by 98% and the cost reduced by 79.6% through the accurate diagnostic technique before repair and maintenance technologies of body crash analysis applying property of high-speed tensile. It also obtains intangible effects including prevention of environmental pollution and maximization of vehicle owners satisfaction.