• 제목/요약/키워드: Operating Profile

검색결과 266건 처리시간 0.021초

과학기술위성 반작용휠의 미소진동 측정 및 분석 (STSAT RWA Micro-Vibration Test and Analysis)

  • 오시환;남명용;박연묵;임조령;금정훈;이승우
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2004년도 추계학술대회논문집
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    • pp.695-698
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    • 2004
  • STSAT RWA (Reaction Wheel Assembly) micro-vibration is measured using KISTLER dynamic plate that can provide the time signals of three orthogonal forces and torques simultaneously up to 400Hz. In the post-processing, measured data are evaluated with respect to the wheel spin rate in both time and frequency domains, and the static/dynamic unbalances are evaluated from the extracted first harmonic component. Also the friction torque profile at each wheel speed is estimated from the measured data. Several higher order harmonic components are observed, that comes from its rotor shape as well as the wheel bearing characteristics. One of the most peculiar characteristics of this wheel is that the dynamic properties of two radial unbalance components are much different from each other as the RWA mounting configuration on a spacecraft is different from conventional RWA mounting configuration. Rocking mode is not appeared below 400Hz for all operating speed because the wheel size is very small. The post-processed results will be used for jitter analysis of STSAT due to RWA micro-vibration.

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Effects of the Low Reynolds Number on the Loss Characteristics in a Transonic Axial Compressor

  • Choi, Min-Suk;Oh, Seong-Hwan;Ko, Han-Young;Baek, Je-Hyun
    • 한국추진공학회:학술대회논문집
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    • 한국추진공학회 2008년 영문 학술대회
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    • pp.202-212
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    • 2008
  • A three-dimensional computation was conducted to understand effects of the low Reynolds number on the loss characteristics in a transonic axial compressor, Rotor67. As a gas turbine becomes smaller in size and it is operated at high altitude, the operating condition frequently lies at low Reynolds number. It is generally known that wall boundary layers are thickened and a large separation occurs on the blade surface in axial turbomachinery as the Reynolds number decreases. In this study, it was found that the large viscosity did not affect on the bow shock at the leading edge but significantly did on the location and the intensity of the passage shock. The passage shock moved upstream towards leading edge and its intensity decreased at the low Reynolds number. This change had large effects on the performance as well as the internal flows such as the pressure distribution on the blade surface, tip leakage flow and separation. The total pressure rise and the adiabatic efficiency decreased about 3% individually at the same normalized mass flow rate at the low Reynolds number. In order to analyze this performance drop caused by the low Reynolds number, the total pressure loss was scrutinized through major loss categories such as profile loss, tip leakage loss, endwall loss and shock loss.

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신재생발전기의 데이터 취득방안에 대한 고찰 (Review on Data Acquisition of Renewable Power Generators)

  • 이봉길;김완홍;최준호
    • 한국태양에너지학회 논문집
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    • 제40권3호
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    • pp.1-20
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    • 2020
  • In accordance with the Government's policy, renewable power generation is expanding very largely. This leads to increasing uncertainty in the power market and power system owing to the intermittent and fluctuating output characteristics of renewable power generators. Data on the acquisition of renewable power generators can be largely classified according to the operation of the power market and power system. Data on the settlement for the payment for the power amount are acquired in the power market, and real-time data for monitoring the status and output of the generators are acquired in the power system. However, renewable power generators operating in the power market have different acquisition cycles depending on the method of communication of the power meter. They acquire data only for settlement purposes and have no real-time data, which requires improvement. In this paper, the acquisition status is reviewed by classifying the data of renewable power generators into settlement and real-time data. In addition, measures and acquisition criteria for real-time data of renewable power generators for improving the acquisition method are proposed.

Evaluation of correlations for prediction of onset of heat transfer deterioration for vertically upward flow of supercritical water in pipe

  • Sahu, Suresh;Vaidya, Abhijeet M.
    • Nuclear Engineering and Technology
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    • 제53권4호
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    • pp.1100-1108
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    • 2021
  • Supercritical water has great potential as a coolant for nuclear reactor. Its use will lead to higher thermal efficiency of Rankine cycle. However, in certain conditions heat transfer may get deteriorated which may lead to undesirable high clad surface temperature. It is necessary to estimate the operating conditions in which heat transfer deterioration (HTD) will take place, so as to establish thermal margins for safe reactor operation. In the present work, the heat flux corresponding to onset of HTD for vertically upward flow of supercritical water in a pipe is obtained over a wide range of system parameters, namely pressure, mass flux, and pipe diameter. This is done by performing large number of simulations using an in-house CFD code, which is especially developed and validated for this purpose. The identification of HTD is based on observance of one or more peak/s in the computed wall temperature profile. The existing correlations for predicting the onset of HTD are compared against the results obtained by present simulations as well as available sets of experimental data. It is found that the prediction accuracy of the correlation proposed by Dongliang et al. is best among the existing correlations.

부분 AUC와 최적분류점들 (Partial AUC and optimal thresholds)

  • 홍종선;조현수
    • 응용통계연구
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    • 제32권2호
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    • pp.187-198
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    • 2019
  • ROC와 CAP 곡선을 이용하여 다양한 정확도 측도를 바탕으로 최적분류점을 추정하는 많은 연구가 있다. 본 연구에서는 ROC와 CAP 곡선의 특정한 부분 면적을 나타내는 대안적인 통계량을 제안한다. 새롭게 정의된 부분 면적을 나타내는 통계량의 미분방정식을 이용하여 ROC와 CAP 함수와의 관계를 살펴보고, 다음으로는 ROC와 CAP 곡선에 대한 다양한 정확도 측도들의 조건에서의 최적분류점과의 관계를 유도한다. 혼합분포를 구성하는 두 종류의 분포함수를 다양한 정규분포로 가정하여 최적분류점을 설정하고, 다양한 정확도 측도들의 조건에서의 최적분류점에 대응하는 제1종과 제2종 오류의 크기를 탐색하고 토론한다.

유량제어밸브 개방형태가 선형펌프 방식 수중사출 시스템에 미치는 영향에 관한 수치적 연구 (Numerical Investigation of Effect of Opening Pattern of Flow Control Valve on Underwater Discharge System using Linear Pump)

  • 이선주
    • 한국군사과학기술학회지
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    • 제22권2호
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    • pp.255-265
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    • 2019
  • In the present study, the effect of opening patterns of a flow control valve on underwater discharge systems using a linear pump was investigated numerically. For that, a improved mathematical model was developed. The improvement is to separate a middle tank from a water cylinder because the cross-section area of the inlet of the middle tank is an important parameter. To validate the improved model, calculation results were compared with a previous study. The results showed that $2^{nd}$ order or more polynomial opening patterns had an advantage over ramp opening patterns. Higher an order of polynomial resulted in wider operating limits. An escape velocity and a maximum acceleration of underwater vehicle were affected by time derivative of the cross-section area of the flow control valve. Besides, as a velocity profile of the vehicle got closer to linearity, the escape velocity got faster and the maximum acceleration got smaller. And velocities of the vehicle and piston had similar variation trend.

무인항공기 운용 환경조건 시험절차 수립 (A Study on the Establishment of Environmental Test Procedures for the UAV)

  • 윤상욱
    • 항공우주시스템공학회지
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    • 제13권3호
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    • pp.87-94
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    • 2019
  • 본 논문에서는 무인항공기가 수명주기 동안 노출될 수 있는 운용 환경조건 입증을 위한 시험절차를 제안한다. 시험절차는 국방과학연구소 초대형 기후환경 챔버에서 시스템 요구조건을 입증할 수 있도록 수립되었다. 다양한 환경조건 중 비행체 단위에서 요구받는 강우, 습도 및 온도(저온 저장, 저온 운용, 고온 운용 및 일광(고온 저장)) 환경조건에 대하여 MIL-STD-810G w/Change 1을 기반으로 수립된 시험단계와 상세 프로파일에 대해 제안하였다.

LRCN을 이용한 리튬 이온 배터리의 건강 상태 추정 (State of Health Estimation for Lithium-Ion Batteries Using Long-term Recurrent Convolutional Network)

  • 홍선리;강모세;정학근;백종복;김종훈
    • 전력전자학회논문지
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    • 제26권3호
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    • pp.183-191
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    • 2021
  • A battery management system (BMS) provides some functions for ensuring safety and reliability that includes algorithms estimating battery states. Given the changes caused by various operating conditions, the state-of-health (SOH), which represents a figure of merit of the battery's ability to store and deliver energy, becomes challenging to estimate. Machine learning methods can be applied to perform accurate SOH estimation. In this study, we propose a Long-Term Recurrent Convolutional Network (LRCN) that combines the Convolutional Neural Network (CNN) and Long Short-term Memory (LSTM) to extract aging characteristics and learn temporal mechanisms. The dataset collected by the battery aging experiments of NASA PCoE is used to train models. The input dataset used part of the charging profile. The accuracy of the proposed model is compared with the CNN and LSTM models using the k-fold cross-validation technique. The proposed model achieves a low RMSE of 2.21%, which shows higher accuracy than others in SOH estimation.

가스터빈엔진 기반 하이브리드 추진시스템 모델링 및 시뮬레이션 (Gas Turbine Engine Based Hybrid Propulsion System Modeling and Simulation)

  • 이보화;김춘택;전상욱;허재성;김재환
    • 한국추진공학회지
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    • 제26권3호
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    • pp.1-9
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    • 2022
  • 본 연구에서 대상으로 삼은 비행체는 4~5인승급 수직이착륙기이며, 해당 비행체용 추진시스템은 가스터빈엔진과 배터리팩을 주 전력원으로 사용하여 다수의 모터가 필요로 하는 요구전력을 공급하는 분산 하이브리드 추진시스템이다. 본 연구에서는 기본설계 결과를 바탕으로 MATLAB/Simulink 프로그램을 사용하여 하이브리드 추진시스템용 설계/해석 플랫폼을 개발하였다. 시뮬레이션 해석을 통해 비행 시나리오에 따른 각 전력원별 출력 거동 및 운용 범위를 확인하였고, 이를 통해 기본설계 결과의 실현가능성을 확인하였다.

Design Patterns for Building Context-Aware Transactional Services in PaaS-Enabled Systems

  • Ettazi Widad;Riane Driss;Nassar Mahmoud
    • International Journal of Computer Science & Network Security
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    • 제23권7호
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    • pp.91-100
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    • 2023
  • Pervasive computing is characterized by a key characteristic that affects the operating environment of services and users. It places more emphasis on dynamic environments where available resources continuously vary without prior knowledge of their availability, while in static environments the services provided to users are determined in advance. At the same time, Cloud computing paradigm introduced flexibility of use according to the user's profile and needs. In this paper, we aimed to provide Context-Aware Transactional Service applications with solutions so that it can be integrated and invoked like any service in the digital ecosystem. Being able to compose is not enough, each service and application must be able to offer a well-defined behavior. This behavior must be controlled to meet the dynamicity and adaptability necessary for the new user's requirements. The motivation in this paper is to offer design patterns that will provide a maximum of automatism in order to guarantee short reaction times and minimal human intervention. Our proposal includes a cloud service model by developing a PaaS service that allows CATS adaptation. A new specification for the validation of CATS model has been also introduced using the ACTA formalism.