• 제목/요약/키워드: ARMA system modeling

검색결과 28건 처리시간 0.025초

End - Mill 절삭계의 파라메터 모델링에 관한 연구 (A study of the Modeling of Paramenters in End-Mill System)

  • 백대균;김희술
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1995년도 추계학술대회 논문집
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    • pp.173-178
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    • 1995
  • This paper presents a new method to obtain parameters of end-mill cutting system. For high speed milling and precision surface finish, we have to predict the deflection of tool and the critical depth of cut. The cutting system can be modeled to a vibratory system to obtain the deflection of tooll and the critical depth of cut. A new method of the modeling of one degree of freedom system was developed using bisection method, ARMA(Autoregressive Moving average) and impact test.

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검출력 향상된 자기상관 공정용 관리도의 강건 설계 : 반도체 공정설비 센서데이터 응용 (Power Enhanced Design of Robust Control Charts for Autocorrelated Processes : Application on Sensor Data in Semiconductor Manufacturing)

  • 이현철
    • 산업경영시스템학회지
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    • 제34권4호
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    • pp.57-65
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    • 2011
  • Monitoring auto correlated processes is prevalent in recent manufacturing environments. As a proactive control for manufacturing processes is emphasized especially in the semiconductor industry, it is natural to monitor real-time status of equipment through sensor rather than resultant output status of the processes. Equipment's sensor data show various forms of correlation features. Among them, considerable amount of sensor data, statistically autocorrelated, is well represented by Box-Jenkins autoregressive moving average (ARMA) model. In this paper, we present a design method of statistical process control (SPC) used for monitoring processes represented by the ARMA model. The proposed method shows benefits in the power of detecting process changes, and considers robustness to ARMA modeling errors simultaneously. We prove benefits through Monte carlo simulation-based investigations.

신경망을 이용한 시계열 분석 : M1-Competition Data에 대한 예측성과 분석 (Time Series Analysis Using Neural Networks : Forecasting Performance Analysis with M1-Competition Data)

  • 지원철
    • 지능정보연구
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    • 제1권1호
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    • pp.135-148
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    • 1995
  • Neural Networks have been advocated as an alternative to statistical forecasting methods. However, the empirical evidences are not consistent. In the present experiments, multi-layered perceptron (MLP) are adopted as approximator to the time series generating processes. To prevent the MLP from being overfitted to the given time series, the information obtained from ARMA modeling is used to determine the architecture of MLP. The proposed approach was tested empirically using the subsamples of the 111 time series used in the first Markridakis Competition. The forecasting results were analyzed to find out the factors that affect the performance of MLP. The experimental results show that the proposed approach outperforms ARMA models in terms of fitting and forecasting accuracy. In addition, it is found that the use of deseasonalized data improves the forecasting accuracy of MLP.

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RLSM 모델링에 의한 엔드밀링 시스템의 모드 분석 (Mode analysis of end-milling process by RLSM)

  • 김종도;윤문철;김광희
    • 동력기계공학회지
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    • 제15권5호
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    • pp.54-60
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    • 2011
  • In this study, an analytical realization of end-milling system was introduced using recursive parametric modeling analysis. Also, the numerical mode analysis of end-milling system with different conditions was performed systematically. In this regard, a recursive least square(RLS) modeling algorithm and the natural mode for real part and imaginary one was discussed. This recursive approach (RLSM) can be adopted for the on-line system identification and monitoring of an end-milling for this purpose. After experimental practice of the end-milling, the end-milling force was obtained and it was used for the calculation of FRF(Frequency response function) and mode analysis. Also the FRF was analysed for the prediction of a end-milling system using recursive algorithm.

선반가공시 채터 모델링과 분석에 관한 연구 (A Study on the Modeling and Analysis of Chatter in Turning Operation)

  • 윤문철;조현덕;김성근;김영국;조희근
    • 한국공작기계학회논문집
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    • 제10권4호
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    • pp.76-83
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    • 2001
  • In this study, the static and dynamic characteristics of turning process was modelled and the analytic realization of regen-erative chatter mechanism was discussed. In this regard, we have discussed on the comparative assessment of recursive times series modeling algorithms that can represent the machining process and detect the abnormal machining behaviors in precision turning operation. In this study, simulation and experimental work were performed to show the malfunction behaviors. For this purpose, new Recursive Extended Instrument Variable Method(REIVM) was adopted for the on-line system identification and monitoring of a machining process. Also, we can apply REIVE algorithms in real process for the detection of chatter frequency and dynamic property and analyze the stability lobe of the system by changing a parameter of cutting dynamics in regenerative chatter mechanics, if it is stable or unstable, Also, The stability lobe of chatter was analysed.

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채터모델링과 진단법에 관한 연구 (A Study on the Modeling and Diagnostics on Chatter in Endmilling Operation)

  • 김영국;윤문철;하만경;심성보
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2001년도 춘계학술대회 논문집
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    • pp.971-974
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    • 2001
  • In this study, the static and dynamic characteristics of endmilling process was modelled and the analytic realization of chatter mechanism was discussed. In this regard, We have discussed on the comparative assessment of recursive time series modeling algorithms that can represent the machining process and detect the abnormal machining behaviors in precision endmilling operation. In this study, simulation and experimental work were performed to show the malfunctional behaviors. For this purpose, new recursive(RLSM) were adopted for the on-line system identification and monitoring of a machining process, we can apply these new algorithms in real process for detection of abnormal chatter. Also, the stability lobe of chatter was analysed by varying parameter of cutting dynamices in regenerative chatter mechanics.

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순환 파라메트릭 모델링에 의한 엔드밀 시스템의 모드 분석 (Mode analysis of end-milling process by recursive parametric modelling)

  • 김태형;김종도
    • 한국기계기술학회지
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    • 제13권3호
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    • pp.73-79
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    • 2011
  • In this study, an analytical realization of end-milling system was introduced using recursive parametric modeling analysis. Also, the numerical mode analysis of end-milling system with different conditions was performed systematically. In this regard, a recursive least square modelling algorithm and the natural mode for real part and imaginary one was discussed. This recursive approach (RLSM) can be adopted for on-line end-milling identification. After experimental practice of the end-milling, the end-milling force was obtained and it was used for the calculation of FRF (Frequency response function) and mode analysis. Also the FRF was analysed for the prediction of a end-milling system using recursive algorithm.

DCS 시스템에서 CRA를 이용한 PID 이득 Tuning에 관한 연구 (Study On PID Gain Tuning Using CRA For DCS System)

  • 이상훈;강윤복;박옥득;김현수;윈황휴;윈필롱;김한실
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2006년 학술대회 논문집 정보 및 제어부문
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    • pp.306-308
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    • 2006
  • 산업현장에서 가장 많이 활용되고 있는 PID제어기의 이론적인 배경을 토대로 실제 DCS 기반 플랜트에서 PID Tuning Method에 의한 PID제어기를 구현하고 제어성능을 확인한다. 또한 DCS(Distribute Control System)의 PID Controller를 분석하고 전 공정제어 System 중 일부분을 ARMA Modeling하여 만족스런 성능이 구현되도록 최적의 PID gain Parameter를 찾는다.

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Estimating Reorder Points for ARMA Demand with Arbitrary Variable Lead Time

  • An, Bong-Geun;Hong, Kwan-Soo
    • 한국경영과학회지
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    • 제17권2호
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    • pp.91-106
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    • 1992
  • It an inventory control system, the demand over time are often assumed to be independently identically distributed (i. i. d.). However, the demands may well be correlated over time in many situations. The estimation of reorder points is not simple for correlated demands with variable lead time. In this paper, a general class of autoregressive and moving average processes is considered for modeling the demands of an inventory item. The first four moments of the lead-time demand (L) are derived and used to approximate the distribution of L. The reorder points at given service level are then estimated by the three approximation methods : normal approximation, Charlier series and Pearson system. Numerical investigation shows that the Pearson system and the Charlier series performs extremely well for various situations whereas the normal approximation show consistent underestimation and sensitive to the distribution of lead time. The same conclusion can be reached when the parameters are estimated from the sample based on the simulation study.

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DMT 방식의 xDSL 모뎀을 위한 시간영역 등화 알고리듬 (Time-domain Equalization Algorithm for a DMT-based xDSL Modem)

  • 김재권;양원영;정만영;조용수;백종호;유영환;송형규
    • 한국통신학회논문지
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    • 제25권1A호
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    • pp.167-177
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    • 2000
  • 본 논문에서는 DMT(discrete multitone)방식의 $\chi$DSL(digital subscriber line)시스템에 사용되는 시간영역 등화기 설계를 위한 새로운 알고리듬을 제안한다. 제안된 알고리듬은 DMT 시스템의 등화기 설계기 사용되는 ARMA(autoregressive moving average) 모델에서 DMT시스템의 성능에 영향을 주지 않는 항을 삭제 시킴으로써 최소의 계산량을 갖는다. 제안된 방식은 matrix inverse 방식, fast algorithm방식, iterative 방식, inverse power 방식과 같은 기존의 시간영역 등화 알고리듬들과 비교할 때 매우 적은 계산량을 사용하나, 성능면에서는 기존의 방식과 비슷하거나 우수한 결과를 보인다. 또한 제안된 방식에서는 수신된 신호만 사용하므로 채널의 임펄스 응답을 추정하거나 훈련신호를 사용할 필요가 없다는 장점이 있다. 또한 bridged tap 유무에 대한 정보를 이용하였다. 즉, bridged tap이 포함되지 않는 채널의 경우 시간영역 등화기 계수의 개수를 반으로 줄일 수 있음을 보인다. ADSL(asymmertrical digital subscriber line)서비스 환경에서 제안된 시간영역 등화기 알고리듬과 기존 시간영역 등화기 알고리듬의 성능을 비교한다.

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