• 제목/요약/키워드: Load identification

검색결과 351건 처리시간 0.029초

LED를 광송수신 소자로 사용한 수동형 가시광 트랜스폰더 (A Passive Visible Light Transponder Using an LED for an Optical Transceiver)

  • 이성호
    • 센서학회지
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    • 제24권4호
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    • pp.232-238
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    • 2015
  • In this paper, we introduce a passive transponder in which an LED is used for both a light transmitter and a receiver, and a solar cell is used for supplying power to the all devices in the transponder. The LED in the transponder operates as a photodetector in the receiving mode, and acts as a light source in the transmitting mode. The current responsivity of the LED detector was measured to be in the order of $10^{-4}A/W$, and the receiving bandwidth with a load resistance of $10k{\Omega}$ was about 10 to 30 kHz. Using the LED for an optical transceiver in a VLID transponder, the detection range was about 70 cm when the transponder was illuminated by the visible light from a $3{\times}3$ LED array in a reader.

신경회로망에 의한 윤활 구동계의 작동조건 판정 (Decision of Operating Condition in the Lubricated Moving System by Neural Network)

  • 조연상;문병주;박흥식;전태옥
    • 한국윤활학회:학술대회논문집
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    • 한국윤활학회 1997년도 제26회 추계학술대회
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    • pp.135-144
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    • 1997
  • This wear debris can be harvested from the lubricants of operating machinery and its morphology is directly related to the damage to the interacting surfaces from which the particles originated. The morphologies of the wear particles are therefore directly indica- rive of wear processes occuring in machinery and their severity. The neural network was applied to identify wear debris generated from the lubricated moving system. The four parameter(50% volumetric diameter, aspect, roundness and reflectivity) of wear debris are used as inputs to the network and learned the friction condition of five values(material 3, applied load 1, sliding distance 1). It is shown that identification results depend on the ranges of these shape parameter learned. The three kinds of the wear debris had a different pattern characteristic and recognized the friction condition and materials very well by neural network. We dicuss how the network determines difference in wear debris feature, and this approach can be applied to condition diagnosis of the lubricated moving system.

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밀링가공에서 절삭력 모델을 이용한 커터 오프셋 판별에 관한 연구 (A Study on the Identification of Cutter Offset by Cutting Force Model in Milling Process)

  • 김영석
    • 한국생산제조학회지
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    • 제7권2호
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    • pp.91-99
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    • 1998
  • This paper presents a methodology for identifying the cutter runout geometry in end milling process. Cutter runout is common but undesirable phenomenon in multi-tooth machining because it introduces variable chip loading to insert which results in a accelerated tool wear. amplification of force variation and hence enlargement vibration amplitude From understanding of chip load change kinematics, the analytical cutting force convolution model was formulated as the angular domain convolution model was formulated as the angular domain convolution of three dynamic cutting force component functions. By virtue of the convolution integration property, the frequency domain expression of the local cutting forces and the chip width density of the cutter. Experimental study is presented to validate the analytical model. This study provides the in-process monitoring and compensation of dynamic cutter runout to improve machining tolerance and surface quality for industrial application.

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확장 루엔버거 관측기를 이용한 저속영역에서의 전동기 관성 추정 (Inertia Identification of Electric Machine Using Extended Luenberger Observer at Low Speed Region)

  • 이교범;강호진;송중호;최익;유지윤
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2002년도 전력전자학술대회 논문집
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    • pp.142-145
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    • 2002
  • A new scheme to estimate machine inertia in low speed is proposed in this paper. It is necessary to consider the machine parameter of low speed instantaneous observer to precise control in servo system, which has frequent load variation and speed change. To estimate machine parameter, especially the moment of inertia, Reduced-Order Extended Luenberger Observer (ROELO) is applied. The effectiveness of the proposed ROELO is showed by simulation.

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IGBT 인버터를 위한 향상된 단락회로 보호기법 (An Improved Short Circuit Protection Scheme for IGBT Inverters)

  • 서범석;현동석
    • 전력전자학회논문지
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    • 제3권4호
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    • pp.426-436
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    • 1998
  • Identification of fault current during the operation of a power semiconductor switch and activation of suitable remedial actions are important for reliable operation of power converters. A short circuit is a basic and severe fault situation in a circuit structure such as voltage source converters. This paper presents a new active protection circuit for fast and precise clamping and safe shutdown of fault currents of the IGBTs. This circuit allows operation of the IGBTs with a higher on-state gate voltage, which can thereby reduce the conduction loss in the device without compromising the short circuit protection characteristics. The operation of the circuit is studied under various conditions, considering variation of temperature, rising rate of fault current, gate voltage value, and protection circuit parameters. An evaluation of the operation of the circuit is made using IGBTs from different to confirm the effectiveness of the protection circuit.

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인공신경망에 의한 기계구동계의 작동상태 예지 및 판정 (Forceseeability and Decision for Moving Condition of the Machine Driving System by Artificial Neural Network)

  • 박흥식;서영백;이충엽;조연상
    • 한국생산제조학회지
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    • 제7권5호
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    • pp.92-97
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    • 1998
  • The morpholgies of the wear particles are directly indicative of wear processes occuring in machinery and their severity. The neural network was applied to identify wear debris generated from the machine driving system. The four parameters(50% volumetric diameter, aspect, roundness and reflectivity) of wear debris are used as inputs to the network and learned the friction condition of five values(material 3, applied load 1, sliding distance 1). It is shown that identification results depend on the ranges of these shape parameters learned. The three kinds of the wear debris had a different patter characteristic and recognized the friction condition and materials very well by artificial neural network. We discussed how the network determines differencee in wear debris feature, and this approach can be applied to foreseeability and decisio for moving condition of the Machine driving system.

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필드로봇의 궤적 추종에 대한 강인제어 (Robust Control for Trajectory Tracking Control of Field Robot)

  • 최종환;김승수;양순용;이병룡;안경관;이진걸
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2002년도 추계학술대회 논문집
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    • pp.463-466
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    • 2002
  • The Field Robot means the machinery applied for outdoor tasks in construction, agriculture and undersea etc. In this paper, to field-robotize a hydraulic excavator, we have proposed a robust and systematic controller design method. Disturbance observer is used as inner controller to reshape the excavating system into the linear dynamics of nominal model by compensating coupled nonlinear terms, model uncertainties and external load variations. Using the linear model that is obtained through off-line system identification, a H control scheme is applied to construct a disturbance observer and a servo-controller systematically.

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Accelerated Creep Testing of Geogrids for Slopes and Embankments: Statistical Models and Data Analysis

  • Koo, Hyun-Jin;Kim, You-Kyum;Kim, Dong-Whan
    • 한국신뢰성학회:학술대회논문집
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    • 한국신뢰성학회 2004년도 정기학술대회
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    • pp.227-232
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    • 2004
  • The failure of geogrids can be defined as an excessive creep strain which causes the collapse of slopes and embankments. In this study, the accelerated creep tests were applied to two different types of polyester geogrids, at 75, 80, 85$^{\circ}C$ by applying 50% load of ultimate tensile strengths using a newly designed test equipment which is allowed the creep testing at higher temperatures. And then the creep curves were shifted and superposed in the time axis by applying time-temperature supposition principles. In predicting the lifetimes of geogrids, the underlying distribution for failure times were determined based on identification of the failure mechanism. The results indicate that the conventional procedures with the newly designed test equipment are shown to be effective in prediction of the lifetimes of geogrids with shorter test times. In addition, the predicted lifetimes of geogrids having different structures at various creep strains give guidelines for users to select the proper geogrids in the fields.

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등가 드로오비드를 적용한 Front Side Member의 성형해석 및 충돌평가 (Forming Analysis of the Front Side Member using Equivalent Draw-bead for Crashworthness Assessment)

  • 송정한;김기풍;김승호;허훈;김현섭;홍석길
    • 소성∙가공
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    • 제12권4호
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    • pp.320-327
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    • 2003
  • This paper is concerned with forming analysis of Front Side Members and effects of the forming analysis on crash analysis of an auto-body. For efficient forming analysis, equivalent draw-bead restraining forces are calculated with ABAQUS/Standard and then used as the boundary condition in forming simulation. In order to demonstrate the validity of the forming analysis, the thickness variation in the numerical simulation result is compared quantitatively with the one in the real product. Forming histories obtained kom the forming analysis are utilized as the initial condition of the crash analysis for accurate assessment of the crashworthiness. Crashworthiness such as the load-carrying capacity, crash mode and the energy absorption is evaluated and investigated for the identification of forming effects.

Control Strategy against Undesirable Zone 3 Relay Operation in Voltage Instability

  • Lee Byong-Jun;Song Hwa-Chang
    • KIEE International Transactions on Power Engineering
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    • 제5A권2호
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    • pp.144-151
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    • 2005
  • This paper presents a framework for determining control strategies against unwanted tripping actions during relay operation that plays a very important role in cascading events leading to voltage collapse. The framework includes an algorithm for quick identification of possible zone 3 relay operation during voltage instability. Furthermore, it comes up with the control strategy of load shedding at the selected location with active power and relay margin criteria. In addition, Quasi Steady-State (QSS) simulation is employed to obtain time-related information that is valuable in the determination of control strategy. As a case study, an example applying the framework is shown with the modified New England 39-bus system.