• Title/Summary/Keyword: Modeling Technique

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Estimation of the Pipe Thickness using the Variation of the Group Velocity (군속도 변화를 이용한 배관 두께 측정)

  • Han, Seung-Hee;Hwang, Jong-Myung;Lee, Jang-Myung
    • The Journal of Korea Robotics Society
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    • v.5 no.1
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    • pp.32-40
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    • 2010
  • This paper proposes the technique of estimating the pipe thickness using the measured group velocity. To measure the group velocity from the accelerometer data in the frequency domain, Wigner-Ville distribution is utilized, which interprets the waveform of the shock wave. Using this measured group velocity, this paper proposes the technique to estimate the thickness of pipes with the impact on the pipe. The group velocity is estimated by the modeling correlation between the group velocity and the thickness of the pipe based on the propagation velocities. The correlation model between thickness and group velocity has been proved through the real experiments. The measured group velocity in the frequency-domain is the maximum at the center frequency of the bending waves in the modeling of the group velocity. In addition to these, a smoothing technique for analyzing lamb wave Wigner-Ville distribution has been introduced to improve the reliability of the data acquisition.

Adaptive Neuro-Fuzzy Ingerence based Torque Model of SRM (적응 뉴로퍼지 추론기법에 의한 SRM의 토오크모델)

  • 홍정표;박성준;홍순일;김철우
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 1999.11a
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    • pp.279-284
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    • 1999
  • Although the switched reluctance motor (SRM) has a several advantages such as simple magnetic structure, robustness, wide range of speed characteristics and simple driving, it has a considerable inherent torque ripple and speed variation duet to the driving characteristics of pulse current waveform and the nonlinear inductance profile. The high torque ripple and speed variation inhibits wide application. The minimization of the torque ripple is very important in high performance servo drive applications, which require smooth operation with minimum torque pulsations. This paper presents the new SRM torque modeling technique for the control of instantaneous torque. The SRM is modeled by the database of torque profiles for every small variation in currents and rotor angles, which is inferred from the several measured data by the adaptive neuro-fuzzy inference technique. Simulation results demonstrating the effectiveness of proposed torque modeling technique are presented.

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A New Modeling Technique for Secondary Arc on Single-Pole Switching Transmission Lines (단상재폐로 선로의 2차아크랜 대한 새로운 모델링 기법)

  • Park, Pyung-Chul;Lee, Uk-Hwa;Shin, Joong-Rin
    • Proceedings of the KIEE Conference
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    • 1997.07c
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    • pp.880-882
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    • 1997
  • The secondary arcing phenomenon can be hardly modeled for computer simulation due to its particularly-nonlinear characteristics. This paper describes a new computer modeling technique for the secondary arc which can be implemented with the EMTP MODELS. The computer model proposed is based on realistic arc conduction behaviors through newly designed variable resistor modules which can be supported in the EMTP. In this Paper, for the variable resister modules, a new variable arc resistance formula is proposed. Simulation results using the proposed technique are compared with some previous studies.

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DNN-based LTE Signal Propagation Modelling for Positioning Fingerprint DB Generation

  • Kwon, Jae Uk;Cho, Seong Yun
    • Journal of Positioning, Navigation, and Timing
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    • v.10 no.1
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    • pp.55-66
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    • 2021
  • In this paper, we propose a signal propagation modeling technique for generating a positioning fingerprint DB based on Long Term Evolution (LTE) signals. When a DB is created based on the location-based signal information collected in an urban area, gaps in the DB due to uncollected areas occur. The spatial interpolation method for filling the gaps has limitations. In addition, the existing gap filling technique through signal propagation modeling does not reflect the signal attenuation characteristics according to directions occurring in urban areas by considering only the signal attenuation characteristics according to distance. To solve this problem, this paper proposes a Deep Neural Network (DNN)-based signal propagation functionalization technique that considers distance and direction together. To verify the performance of this technique, an experiment was conducted in Seocho-gu, Seoul. Based on the acquired signals, signal propagation characteristics were modeled for each method, and Root Mean Squared Errors (RMSE) was calculated using the verification data to perform comparative analysis. As a result, it was shown that the proposed technique is improved by about 4.284 dBm compared to the existing signal propagation model. Through this, it can be confirmed that the DNN-based signal propagation model proposed in this paper is excellent in performance, and it is expected that the positioning performance will be improved based on the fingerprint DB generated through it.

CAD System of New Concept to Support Top-Down Approach in Design (하향식 설계방식을 지원하는 새로운 개념의 CAD 시스템)

  • 김성환;이건우
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.19 no.7
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    • pp.1604-1618
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    • 1995
  • In the process of mechanical assembly design, assembly modeling systems have been used mainly for the design verification before manufacturing by enabling to check the interference and/ or the dynamic and kinematic performance. However, the conventional assembly modeling systems have a shortcoming that they can not be used in the initial design stage but can be used only after the design is fully completed. In other words conventional assembly modeling systems provide bottom-up modeling which means that the detailed modeling of components must precede the definition of relationships between them. To resolve this problem, an assembly modeling system is proposed to provide a top-down modeling environment in which components and assembly can be modeled simultaneously. To this end, an assembly data structure suitable for top-down assembly modeling has been established. Feature positioning Module(FPM) using geometric constraints has been also developed. The Sekective Solving Method proposed for FPM is based on the priority between the constraint equations and enables the designer's intent expressed by geometric constraints to be maintained throughout the whole modeling process. Finally, the feature based modeling technique using two-level features has been developed. Two-level features include an abstract model and a detailed model in a merged form in non-manifold data frame.

Steel Probing in Concrete Using Steel Corrosion Surface Measurement Method Modeling (철근부식 표면측정법 모델링을 통한 콘크리트 내 철근 탐사)

  • Rhim, Hong-Chul;Ma, Hyang-Hwa;Lee, Suk-Yong;Lee, Kun-Woo;Oh, Jin-Won
    • Journal of the Korea Concrete Institute
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    • v.21 no.2
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    • pp.153-158
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    • 2009
  • Using non-invasive surface measurement method, the corrosion state of steel embedded inside concrete can be measured by placing four electrodes on the surface of concrete. Modeling of such measurements can provide valuable information as how interfacial impedance between corroded steel and surrounding concrete results in measured impedance on the concrete surface. In this paper, the modeling of surface measurement technique is used for the determination of the sensitivity of the measurements with respect to steel bar size embedded inside concrete and cover thickness. Modeling results indicated that steel bar sizes varied from D10 to D35 could be identified. Concrete cover thickness changes from 0.02 m to 0.1 m was also distinguished using the modeling scheme. The results confirm this modeling technique is capable of determining steel bar sizes and cover thickness, as well as simulating corrosion responses.

Development of Modeling Support System for Lower Arm in Automobile Suspension Module (자동차 서스펜션 로워암의 모델링 보조시스템 개발)

  • Lee T.H.;Shin S.Y.;Suh C.H.;Kwon T.W.;Han S.H.
    • Korean Journal of Computational Design and Engineering
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    • v.11 no.1
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    • pp.49-56
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    • 2006
  • In this study, the modeling support system was developed which can make easy and fast FE-modeling and verify the results of static and durability analysis for the lower arm, one of the important parts in automobile suspension module. It took into account of the whole complicated design processes verifying the durability coefficients evaluated by fatigue analysis, which should be used to satisfy a design criteria. To guide the FE-modeling the drive page was constructed by using HTML and XML, which was based on expert's know-hows. It is able to integrate the processes to design the lower arm in practice, so that the standardization of its FE-Modeling is achieved, consequently. The 3 dimensional CAD's geometrical data were changed automatically into pre-defined shell elements under the concept of mesh-offset technique, and then welding elements were treated to connect between target and basic surfaces constructed by the shell elements. This system has also a user interface to control boundary and load ing conditions applied in performing of the static and durability analysis, in which many load cases can be applied simply with the MPCs driven by just few mouse clicks. These were implemented on the platform of MSC.Patran and utilized ANSYS, MSC.Nastran and MSC.Fatigue as the solver of the analysis performed. The developed system brings not only significant decreasing of man-hours required in FE-modeling process, but also obtaining of satisfied qualities in analyzed results. It will be integrated in a part of virtual prototyping module of the developing e-engineering framework.

Physical Modeling of Aluminum-Foam Generation (알루미늄 발포공정의 물리적 모델링)

  • Oak S. M.;Moon Y. H.
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 2001.10a
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    • pp.297-300
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    • 2001
  • Physical modeling technique is applied to investigate foam generation in molten aluminum. By using room temperature water with specially designed equipment, the effects of stirrer type, fluid viscosity(glycerine added to water) and stirring velocity on foam generation behaviors are intensively analysed The distribution and size of bubbles varied with each process parameters but the most important parameters are stirring velocity and fluid viscosity. The results obtained from physical simulation have been confirmed by actual aluminum foam generation experiment at various process variables.

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Modeling of Multilevel PWM Inverter/Rectifier (멀티레벨 PWM 인버터/정류기의 모델링)

  • Choi, Nam-Sup;Cho, Gyu-Hyeong
    • Proceedings of the KIEE Conference
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    • 1992.07b
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    • pp.1119-1122
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    • 1992
  • This paper deals with a novel method of modeling and analyzing multilevel pulse width modulation(PWM) inverter/rectifier, which leads to extraction of equivalent circuit in fundamental frequency domain. By the technique, we can draw out the corresponding linear time invariant circuit even thuogh the actual circuit is switched. A static VAR compensator using five-level inverter is modeled and simulated for the verification of the modeling.

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A Study on the ORP Modeling in SBR Process for Nitrogen Removal: Polynomial Neural Network Is Employed (질소제거를 위한 SBR 공정운전에서 ORP 모델링에 관한 연구: 다항식 뉴럴네트워크 기법 중심)

  • 김동원;박영환;박귀태
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.53 no.4
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    • pp.221-225
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    • 2004
  • This paper shows the application of artificial intelligence technique such as polynomial neural network in modeling and identification of sequencing batch reactor (SBR). A wastewater treatment process for nitrogen removal in the SBR is presented. Simulation results have shown that the nonlinear process can be modeled reasonably well by the Present scheme which is simple but efficient.