• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.2
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• pp.355-362
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• 2021

Since coaxial magnetic gears use non-contact power transmission, friction, wear, noise, and heat generated in the power transmission process of existing mechanical gears can be minimized. Currently, research for application to various industries is being actively conducted, but among the characteristics of coaxial magnetic gears, the problem of rapidly decreasing torque density at a high gear ratio was discussed. This paper proposes a direction for multiple gear combination using low gear ratio coaxial magnetic gears with high torque density. In order to confirm the effectiveness of the method, the torque density was compared with a single high gear ratio model, and the combination and design direction of multiple coaxial magnetic gears were shown.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2012.05a
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• pp.1107-1108
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• 2012

• Transactions of the Korean Society of Machine Tool Engineers
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• v.16 no.4
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• pp.36-44
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• 2007

This paper is focused on the optimum design for decreasing volume and increasing reliability of multi-stage gear drive. For the optimization on volume and reliability, multi-objective optimization is used. The genetic algorithm is introduced to multi-objective optimization method and it is used to develop the optimum design program using exterior penalty function method to solve the complicated subject conditions. A 5 staged gear drive(geared motor) is chosen to compare the result of developed optimum design method with the existing design. Each of the volume objective, reliability objective, and volume-reliability multi-objectives are performed and compared with existing design. As a result, optimum solutions are produced, which decrease volume and increase reliability. It is shown that the developed design method is good for multi-stage gear drive design.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.10
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• pp.445-454
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• 2023

Recently, various fault diagnosis studies are being conducted utilizing data from collaborative robots. Existing studies performing fault diagnosis on collaborative robots use static data collected based on the assumed operation of predefined devices. Therefore, the fault diagnosis model has a limitation of increasing dependency on the learned data patterns. Additionally, there is a limitation in that a diagnosis reflecting the characteristics of collaborative robots operating with multiple joints could not be conducted due to experiments using a single motor. This paper proposes an LSTM diagnostic model that can overcome these two limitations. The proposed method selects representative normal patterns using the correlation analysis of vibration and current data in single-axis and multi-axis work environments, and generates residual patterns through differences from the normal representative patterns. An LSTM model that can perform gear wear diagnosis for each axis is created using the generated residual patterns as inputs. This fault diagnosis model can not only reduce the dependence on the model's learning data patterns through representative patterns for each operation, but also diagnose faults occurring during multi-axis operation. Finally, reflecting both internal and external data characteristics, the fault diagnosis performance was improved, showing a high diagnostic performance of 98.57%.

• Fire Science and Engineering
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• v.32 no.1
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• pp.57-65
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• 2018

In this study, a post-fire safe shutdown analysis (PFSSA) including multiple spurious operation (MSO) treatments for cables was conducted with an imaginary nuclear power plant for training using a deterministic fire analysis code. The imaginary nuclear power plant for the training consisted of a reactor containment building and an auxiliary building, including a total of 22 fire areas. The equipment including valves, pumps, emergency diesel generators, switch gears, motor control centers, and logic controllers were located in each fire area of the imaginary plant. It was assumed that each equipment is connected with two cables and that each cable passes through the fire areas along the cable trays. A database containing the information on the equipment and cables for the imaginary plant was constructed for the fire area analysis. The fire area analysis was performed for several assumed MSO scenarios, equipment logics, and cable logics. A mitigation measure using a three hour rated wrap was applied to the failed cables and cable trays after the fire area analysis.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.11
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• pp.2759-2764
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• 2014

Smoke detector is commonly used to reduce fire detection time. However, technical problems regarding its inaccuracy of laser beam-receiving point on the surface of the sensor associated with incoming interference are identified when the laser transmitter and receiver are installed at a distance of about 100m. In this paper, we propose the auto focus alignment algorithm with high precision to adjust tilting angle of lasers caused by environmental interference so that solve existing issues using multi-level worm gear set.

• Proceedings of the Korean Vacuum Society Conference
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• 2013.08a
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• pp.106.2-106.2
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• 2013

본 논문은 반도체 및 평판 디스플레이 생산공정에서 가동되고 있는 건식 진공펌프들의 정밀 상태진단 및 예지 보수를 위한 pump monitoring system (PMS)의 제품화에 필요한 프로그램의 개발 내용을 소개한다. 본 연구에서 소개하는 건식 진공펌프들의 정밀 상태진단 및 예지보수기법은 PCT 특허 2 건으로 이미 등록된 내용이며, 본 논문은 이들 기법의 실제 구현에서 직면하는 기술적 문제점과 극복 방안을 제시한다. 본 논문에서는 현재 반도체 공정에 사용되고 있는 건식 진공펌프들로부터 측정하는 다중 상태변수들의 조사 결과를 소개한다. 이들 상태변수 측정치들이 갖는 개략적 특성을 통계적 분포함수로 분석한 결과를 우선 보인다. 특히 펌프 구동모터들의 소비 전류신호는 두 평균값에 대한 분포 즉 두 종의 분포함수를, 그리고 온도, purge gas 유량, 배기구 압력 등은 정상적 평균값에 대한 한나의 분포를 보였다. 따라서 구동모터들의 소비전류의 분포 즉 두 상하 수준('low and high' current level)에 따라 batch data를 구분하는 방법의 개발이 필요하였다. 본 연구에서는 step 함수형 eigenvector를 적용하여 소비전류 신호의 상하수준 천이 영역과 방향을 동시에 인식할 수 있는 기법을 개발 적용하였으며, 3300회의 배출가스 부하에 변화에 대한 천이 영역과 방향을 인식에 하나의 실패도 보이지 않음을 확인하였다. 기존의 측정 상태변수에는 회전기계류의 정밀 상태진단 및 예지보수에 핵심적인 기계진동 측정용 진동센서를 포함하고 있지 않은 기술적 문제점이 발견되었다. 기존 진동센서들의 높은 가격 뿐 아니라 진동센서의 출력신호를 저/중/고역 주파수 대역의 실효치로 환산하는 기술적 한계 때문에 진공펌프 상태진단에 아직 사용하고 있지 않고 있다. 본 연구에서는 진동선서 비용의 저감화 방안뿐 아니라 로터 회전 대역(250Hz 이하 저주파 영역), 베어링 진동 대역(250 Hz~2.5 kHz의 중간 주파수 영역), 그리고 기어 진동 대역(2.5 kHz~10 kHz 주파수 영역)별 실효치를 실 시간 측정할 수 있는 진동측정 모듈의 제품화 모델을 개발하였다. 개발 제품의 성능 뿐 아니라 현장 시험결과를 소개한다. 마지막으로 본 연구팀이 개발한 PCT 특허 2 건에 포함된 건식 진공펌프들의 정밀 상태진단 및 예지보수기법에 대한 현장 시험결과를 간략히 소개한다.

• Journal of Digital Convergence
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• v.18 no.12
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• pp.543-548
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• 2020

The purpose of this study is to implement various movements of multiple objects using a small number of power devices in producing a kinetic design, achieving an effect similar to a work comprised of multiple objects controlled using multiple power devices. While it is more typical to control various objects using multiple power devices, the use of multiple devices leads to higher costs and heavier overall weight. In addition, more power is required to operate the multiple power devices. This study applied a mechanism that allows multiple objects to perform various movements using a small number of power devices. The mechanism significantly reduces overall weight and power consumption. In addition, various movements could be expressed by increasing the rows and columns of objects through the use of the camshaft structure that changed the position and shape of the cam and the use of bevel gears. The significance of this study lies in presenting a new method of controlling multiple objects for designers involved in kinetic design.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.2
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• pp.215-221
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• 2006

This paper is concerned with the control of multiple nonlinearities included in a humanoid robot system. A humanoid robot has some problems such as the structural instability, which leads to consider the control of multiple nonlinearities caused by driver parts as well as gear reducer. Saturation and backlash are typical examples of nonlinearities in the system. The conventional algorithms of backlash control were fuzzy algorithm, disturbance observer and neural network, etc. However, it is not easy to control the system by employing only single algorithm since the system usually includes multiple nonlinearities. In this paper, a switching Pill is considered for a control of saturation and a dual feedback algorithm is proposed for a backlash control. To implement the above algorithms, the system identification is firstly performed for the minimization of the difference between the results of simulation and experiment, and then the switching Pill gains are determined using genetic algorithm with some heuristic approach. The performance of the switching Pill controller for saturation and the dual feedback for backlash control is investigated through the simulation. Finally, it is shown that the implemented control system has good results and can be applied to the real humanoid robot system ISHURO.