• 드라이브 ㆍ 컨트롤
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• 제19권1호
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• pp.34-42
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• 2022

Hydrostatic transmission (HST) comprises rotary parts, shafts, valve plate, swashplate, and servo pistons. Ensuring structural stability of each part of an HST has a significant impact on product safety. In this study, the structural stability of HST in agricultural machinery and industrial vehicles was analyzed using ANSYS software. For conservative evaluation, high-pressure conditions (35.5 MPa and 2 MPa pilot pressure) were applied as load conditions. The number of grids used in the calculations ranged from 0.4 to 0.8 million depending on modeling requirements. Structural analysis was performed for essential parts and safety factor was analyzed. All major parts of HST had a safety factor of ≥ 1.5. Thus, they were judged to be structurally safe. This study provides important information for designing an HST system.

• 드라이브 ㆍ 컨트롤
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• 제17권3호
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• pp.33-46
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• 2020

We introduce a piece of special-purpose equipment for responding to disasters that has a dual-arm manipulator consisting of six-axis multi joints, and a master-slave operating system controlled by a wearable joystick for intuitive and convenient operation. However, due to the complexity and diversity of a disaster environment, training and suitable training means are needed to improve the interaction between the driver and equipment. Therefore, in this paper, a system that can improve the operator's immersion in the training simulation is proposes, this system is implemented in a virtual environment. The implemented system consists of a cabin installed with the master-slave operation system, a motion platform, visual and sound systems, as well as a real-time simulation device. This whole system was completed by applying various techniques such as a statistical mapping method, inverse kinematics, and a real-time physical model. Then, the implemented system was evaluated from a point of view of the appropriateness of the mapping method, inverse kinematics, the feasibility for real-time simulations of the physical environment through some task mode.

• 품질경영학회지
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• 제49권4호
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• pp.581-594
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• 2021

Purpose: The purpose of this study is to compare machine learning models for anomaly detection of mechanical facility equipment and suggest an anomaly detection system for mechanical facility equipment in subway stations. It helps to predict failures and plan the maintenance of facility. Ultimately it aims to improve the quality of facility equipment. Methods: The data collected from Daejeon Metropolitan Rapid Transit Corporation was used in this experiment. The experiment was performed using Python, Scikit-learn, tensorflow 2.0 for preprocessing and machine learning. Also it was conducted in two failure states of the equipment. We compared and analyzed five unsupervised machine learning models focused on model Long Short-Term Memory Variational Autoencoder(LSTM-VAE). Results: In both experiments, change in vibration and current data was observed when there is a defect. When the rotating body failure was happened, the magnitude of vibration has increased but current has decreased. In situation of axis alignment failure, both of vibration and current have increased. In addition, model LSTM-VAE showed superior accuracy than the other four base-line models. Conclusion: According to the results, model LSTM-VAE showed outstanding performance with more than 97% of accuracy in the experiments. Thus, the quality of mechanical facility equipment will be improved if the proposed anomaly detection system is established with this model used.

• 터널과지하공간
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• 제22권4호
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• pp.257-265
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• 2012

본 연구에서는 드릴비트 내부 유로의 최적설계를 위하여 암분유동해석을 수행하였다. 이를 위해 암분과 기체의 다상유동해석이 가능한 전산유체역학 코드인 Star-CCM+을 사용하였다. 실제 천공시험으로부터 획득한 결과값을 기체 및 암분의 해석조건으로 적용하였다. 내부 유로 설계에 관련된 핵심인자를 3가지로 결정한 후, 다구찌 기법을 활용한 실험계획법으로부터 3가지 설계인자에 대한 최적값을 조사하였다.

• 무역상무연구
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• 제75권
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• pp.159-177
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• 2017

In this paper, we examined trends and regulations of the global medical equipment industry through literature search. The medical equipment industry is attracting attention as a new growth engine in the Fourth Industrial revolution. However, the medical device industry is a highly competitive field due to product diversity, short product life cycle and technological advances. In addition, Medical equipment are related to human health and safety. Therefore, it can only be exported if it is approved by national or international standards. Therefore, from the development stage of the product, the medical equipment should designate the country to be exported and develop a medical equipment that meets the requirements for licensing the medical equipment in the country. Therefore, In this paper, In this paper, we will present the practical considerations of the medical equipment exporting company by examining the global medical equipment market trends and the regulations related to medical equipment in major countries.

• 반도체디스플레이기술학회지
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• 제18권4호
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• pp.92-95
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• 2019

Automation control and the data for control of industrial equipment for the diagnosis and prediction is a key to success in the 4th industrial revolution. It increases process efficiency and productivity through data collection, realtime monitoring, and the data analysis. However, university and research environment are still suffering from logging the data in manual way, and we occasionally loss the equipment data logging due to the lack of automatic data logging system. State variable presents the current condition of the equipment operation which is closely related to process result, and it is valuable to monitor and analyze the data for the equipment health monitoring. In this paper, we demonstrate the collection of equipment state variable data via programmable logic controller (PLC) and the visualization of the collected data over the Web access supervisory control and data acquisition (SCADA). Test vehicle for the implementation of the suggested SCADA system is a relay switched physical vapor deposition system in the university environment.

• 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.

• 대한안전경영과학회지
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• 제2권4호
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• pp.1-8
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• 2000

Equipment and machine of industrial plant are give effect to mechanical-stress of many working-stop or long time operating. Therefore, to be old and decrepit of every king of equipment. As long time operating equipment period into increase conservation and of repair equipment time is efficacious necessity of utility factor gradually that of productivity of diminution and complete equipment expense of increase. Conservation at special skill working and necessity is that will effectually and complete a period prevention management diagnosis can conservation point at issues at in advance.

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2006년도 정기학술발표대회 논문집
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• pp.669-673
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• 2006

터널 청소는 현장작업이기 때문에 대단히 열악한 근로조건에 놓여있다. 시공되는 터널의 증가로 청소해야 할 터널이 점점 많아지고 있다. 하지만 터널의 증가에 비해 청소 분야에서 숙련공에 대한 구인난과 고령화는 해소되지 않고 있으며, 이들에 대한 임금 상승이 지속되는 것으로 조사되었다. 이에 대응하여 해결방안으로 제시된 것들 중의 하나가 바로 자동화${\cdot}$기계화이다. 최근 산업로봇의 발달로 인해 인력으로 해왔던 일들이 점차 줄어들고 신속하고 쾌적한 환경에서 작업할 수 있게 되었다. 하지만 건설로봇이 개발되기 시작한 것은 불과 10년 정도로 지금까지 개발된 전 세계 건설로봇은 90여종 200여대 정도에 지나지 않는다. 이중 터널 청소 분야에서는 장비는 개발되었더라도 완벽한 자동화를 이루지 못해 추가로 인력이 투입되는 실정이다. 터널 청소는 직업의 안정성, 임금, 안전, 쾌적한 작업 환경 등을 만족시키지 못하고 작업자의 생명을 위협하는 수준에까지 이르고 있어 터널청소장비의 개선이 시급하다. 본 연구는 기존의 터널청소의 문제점 및 기존 터널장비의 문제점을 분석하고 이를 바탕으로 개선된 터널청소 장비를 제안하고자 한다.

• 경영과학
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• 제8권1호
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• pp.41-50
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• 1991

Within the current construction industry, constractor equipment management practices lack structure and often are not addressed through an economic analysis and evaluation process. This paper explores two areas...cost of capital and inflation...with the intention of providing insight for a more structured and economic based approach to contractor equipment replacement practices rather than by the traditional "rule of thumb".umb".uot;.