• Title/Summary/Keyword: signal modeling

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Small-Signal Modeling and Control Design of Asymmetrical Half Bridge DC/DC Converter (시비율 비대칭 하프 브릿지 컨버터의 소신호 해석 및 전압 제어 루우프 설계)

  • Bang Sang-Hyun;Lim Wonseok;Kang Yonghan;Choi Byungcho
    • Proceedings of the KIPE Conference
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    • 2002.07a
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    • pp.538-541
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    • 2002
  • Dynamic analysis and compensation design for an asymmetrical half bridge do-dc converter are presented. A small-signal model is developed using the averaging method. Based on the proposed small-signal average model, the open loop transfer functions of the power stage were obtained and used for the compensation design. All theoretical predictions are validated by experiments on a prototype converter.

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MEMS Accelerometer Modeling and Performance Analysis by Considering Signal Distortion (신호왜곡 현상을 고려한 MEMS 가속도 센서 모델링 및 성능특성 분석)

  • Kim, Yong-Il;Yoo, Hong-Hee
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.21 no.2
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    • pp.106-111
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    • 2011
  • In this paper, assumed mode method on Euler beam theory is employed and signal distortion is considered to obtain the performances of a MEMS accelerometer which are a sensitivity and measurable frequency range(MFR). Not only the sensitivities and MFR but also the variations of dynamic responses and natural frequencies of the MEMS accelerometer are investigated for several sets of beam properties such as length, width, thickness and Young's modulus. It is stated that the variations of beam properties significantly influence the performances of the MEMS accelerometer and the relationship between sensitivities and MFR is inversely proportional to each other.

Fault Diagnosis of an Electric Tool using Automaton (거동 반응을 이용한 전동공구 고장진단)

  • Lee, Seung-Mock;Choi, Yeon-Sun
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2006.05a
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    • pp.1328-1333
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    • 2006
  • For fault diagnosis of machines and equipments, knowledge-based method has been used widely but has some limitations for complex systems. These can be covered by model-based method. As one kind of model-based method, Qualitative modeling diagnosis method is developed in this research. The developed method uses output signal only. In this method quantization of the output signal mattes automata which can characterize the flow of the signal pattern to normal and fault respectively. As an example of the qualitative diagnosis method, an electric tool which has faults at gear and bearing were examined in this research. The result shows that the developed method can diagnose the fault clearly for the two fault cases.

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A Study on the Signal Processing and Robust Control for a 3-DOF Active Vibration Isolator (3자유도 능동형 제진 시스템을 위한 신호처리 및 강인제어에 관한 연구)

  • Moon, Jun-Hee;Kim, Hwa-Soo;Pahk, Heui-Jae
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2006.05a
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    • pp.153-156
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    • 2006
  • The vibration isolation system is a system that attenuates the vibration transmitted from surroundings by using external energy supply like electricity and feedback and/or feedforward functions. Such a system needs stiff structure to make precise positioning without ripple within a certain bandwidth. So, a horizontal and rotary arrangement of the actuation module is suggested by using lever linkage. Modeling and kinematic formulation are completed and system identification is accomplished to tune the design variables accurately. The vibration isolation control is performed by mu-synthesis with the uncertainties in design variables. Low frequency signal enhancement circuit and saturation proof integration algorithm are devised to use seismic sensors for displacement control. This overall system shows good disturbance rejection performance.

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Characteristics of Cow´s Voices in Time and Frequency domains for Recognition

  • Ikeda, Yoshio;Ishii, Y.
    • Agricultural and Biosystems Engineering
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    • v.2 no.1
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    • pp.15-23
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    • 2001
  • On the assumption that the voices of the cows are produced by the linear prediction filter, we characterized the cows’voices. The order of this filter was determined by examining the voice characteristics both in time and frequency domains. The proposed order of the linear prediction filter is 15 for modeling voice production of the cow. The characteristics of the amplitude envelope of the voice signal was investigated by analyzing the sequence of the short time variance both in time and frequency domains, and the new parameters were defined. One of the coefficients o the linear prediction filter generating the voice signal, the fundamental frequency, the slope of the straight line regressed from the log-log spectra of the short time variance and the coefficients of the linear prediction filter generating the sequence of the short time variance of the voice signal can differentiate the two cows.

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THE SIMULATION OF A FABRY-PEROT INTERFEROMETER (파브리-페로 간섭계의 시뮬레이션)

  • 최기혁;데이빗리즈
    • Journal of Astronomy and Space Sciences
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    • v.14 no.1
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    • pp.117-125
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    • 1997
  • A Fabry-Perot interferometer has a very high (~1,000,000) resolution, so recently this has been widely used for many fields of space science. To understand the working principle of this a mathematical modeling is needed, and to analyze the interferogram it is essential to know the precise instrument function. The spectrum from the interferometer is mixed with a true signal from the light source and the instrument function through convolution. The true signal has the information about the quantum state of mo lecules, temperature and bulk motion of the gas. Therefore if we model the signal and convolve this with the theoretical instrument function we can predict the spectrum for the real case.

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An Analysis of Highlight Distribution Modeling for High Frequency CW Pulse Signal Reflection on Underwater Target (수중표적의 고주파수 CW 펄스신호 반사를 위한 하이라이트 분포 모델링 해석)

  • 김부일;이형욱;박명호;권우현
    • Journal of the Korea Society for Simulation
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    • v.9 no.3
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    • pp.1-11
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    • 2000
  • This paper proposes the practical echo-signal synthesis models - UTAHID (Underwater TArget by Highlight Distribution) & M-UTAHID(Modified UTAHID) - of underwater target for active sonar engineering At high frequencies all the echo components that are the specular reflected waves and various elastic scattering wave scan be regarded the summation of individual echo from some equivalent scattering centers, so the underwater target is characterized by highlights distributed in spatial target structure. Proposed models are compared with characteristics of random distributed model & equivalent interval highlight model, and analyzed target strength, echo-elongation effect, target time spread loss and so on. Thus these can be efficiently used in various real systems related to underwater target echo-signal synthesis on active sonar and acoustic countermeasure.

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Experimental Characterization and Signal Integrity Verification of Interconnect Lines with Inter-layer Vias

  • Kim, Hye-Won;Kim, Dong-Chul;Eo, Yung-Seon
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.11 no.1
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    • pp.15-22
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    • 2011
  • Interconnect lines with inter-layer vias are experimentally characterized by using high-frequency S-parameter measurements. Test patterns are designed and fabricated using a package process. Then they are measured using Vector Network Analyzer (VNA) up to 25 GHz. Modeling a via as a circuit, its model parameters are determined. It is shown that the circuit model has excellent agreement with the measured S-parameters. The signal integrity of the lines with inter-layer vias is evaluated by using the developed circuit model. Thereby, it is shown that via may have a substantially deteriorative effect on the signal integrity of high-speed integrated circuits.

A method of overcomplete representation for distributed data (분산 자료에 대한 초완비 표현 방법)

  • Lee, Sang-Cheol;Park, Jong-Woo;Kwak, Chil-Seong
    • Proceedings of the IEEK Conference
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    • 2007.07a
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    • pp.457-458
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    • 2007
  • This paper propose a method for representing distributed data of sensor networks. The proposed method is based on a general distributed regression framework that models sensor data by fitting a global function to each of the local measurements and explores the possible extensions of distribution regression by using complex signal representations. In order to reduce the amount of processed data and the required communication, the signal model has to be as compact as possible, with the ability to restore the arbitrary measurements. To achieve this requirement, data compression step is included, where the basis function set is changed to an overcomplete set. This have better advantages in case of nonstationary signal modeling than complete base representation.

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Eigenvalue Distribution Analysis Via UPFC for Enhancing Dynamic Stability Into the Multi-machine Power System (다기 전력시스템의 동적안정도 향상을 위해 UPFC 연계시 고유치 분포 해석)

  • 김종현;정창호;김진오
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.52 no.9
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    • pp.487-492
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    • 2003
  • This paper analyzes an eigenvalue distribution and enhancement of the small signal stabiligy when an Unified Power Flow Controller (UPFC) modeling is connected into the multi-machine power system. Recently a lot of attention has been paid to the subject of dynamic stability. It deals with analysis of eigenvalue sensitivities with respect to parameters of UPFC Controller and damping of interarea and local electromechanical oscillation modes using UPFC Controller. It provides an insight and understanding in the basic characteristics of damping effects of UPFC Controller and shows a very stable frequency response via UPFC in test model. The series branch of the UPFC is designed to damp the power oscillation during transients, while the shunt branch aims at maintaining the bus voltage and angle. Comprehensive time-domain simulation studies using PSS/E show that the proposed robost UPFC controller can enhance the small signal stability efficiently in spite of the variations of power system operating conditions.