• 제목/요약/키워드: Mass estimation

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시간-주파수 기법을 이용한 금속파편 질량 추정 (Mass estimation using time-frequency analysis)

  • 최영철;박진호;윤두병;박근배
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2006년도 춘계학술대회논문집
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    • pp.1129-1134
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    • 2006
  • Mass estimation was derived as functions of acceleration magnitude and primary frequency. The conventional method of mass estimation used frequency data directly in the frequency domain. The signals that can be obtained sensor contained noise as well as impact signal. Therefore, how well we can detect the frequency data in noise directly determines the quality of mass estimation. To find exact frequency data, we used time-frequency analysis. The time frequency method are expected to be more useful than the conventional frequency domain analyses for the mass estimation problem on a plate type structure. Also it has been concluded that the smoothed WVD can give more reliable means than the other methodologies for the mass estimation in a noisy environment.

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시간-주파수 기법을 이용한 금속파편 질량 추정 (Loose-part Mass Estimation Using Time-frequency Analysis)

  • 박진호;윤두병;박근배;최영철
    • 한국소음진동공학회논문집
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    • 제16권8호
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    • pp.872-878
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    • 2006
  • Mass estimation was derived as functions of acceleration magnitude and primary frequency. The conventional method of mass estimation used frequency data directly in the frequency domain. The signals that can be obtained sensor contained noise as well as impact signal. Therefore, how well we can detect the frequency data in noise directly determines the quality of mass estimation. To find exact frequency data, we used time-frequency analysis. The time-frequency methods are expected to be more useful than the conventional frequency domain analyses for the mass estimation problem on a plate type structure. Also it has been concluded that the smoothed WVD can give more reliable means than the other methodologies for the mass estimation in a noisy environment.

선형 영구자석 동기전동기의 최소자승법을 적용한 질량 추정 (Mass Estimation of a Permanent Magnet Linear Synchronous Motor by the Least-Squares Algorithm)

  • 이진우
    • 전력전자학회논문지
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    • 제11권2호
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    • pp.159-163
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    • 2006
  • 선형 서보 응용분야에서 속도제어기를 정밀하게 조정하기 위해서는 부하 및 가동자의 질량을 항상 정확하게 알고 있어야 한다. 본 논문에서는 선형 영구자석 동기전동기의 가동부 질량을 추정하기 위하여 상수추정 알고리즘으로 최소자승법을 적용한 질량 추정방법을 제안하였다. 먼저 최소자승법을 적용하기 위한 기계적인 동전 시스템에 대한 DARMA(deterministic autoregressive moving average)모델을 유도하고, 유도된 DARMA모델에 최소자승법을 적용한 시뮬레이션 덴 실험 결과를 제시하여 제안한 방법으로 질량을 정밀하게 추정할 수 있음을 보였다.

기체연료 엔진에서 공연비제어를 위한 흡입공기량 추정 (Estimation of Inlet Air Mass Flow for Air-Fuel Raito Control of Gaseous-Fuel Engines)

  • 심한섭;이강윤;선우명호;송창섭
    • 한국자동차공학회논문집
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    • 제9권5호
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    • pp.131-139
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    • 2001
  • Highly accurate control of the air-fuel ratio is important to reduce exhaust gas emissions of the gaseous-fuel engines. In order to achieve this purpose, inlet air mass flow must be measured exactly, and precise engine models are necessary to design engine control systems. In this paper, the effects of water vapor and gaseous fuel that change the air mass flow are studied. The effective air mass ratio is defined as the air mass flow divided by the mixture mass flow, and also it is applied to the estimation of the inlet air mass flow. The presence of the gaseous fuel and the water vapor in the mixture reduces the air partial pressure and the effective air mass ratio of the gaseous-fuel engines. The Experimental results for an LPG engine show that the estimation of the inlet ai mass flow based upon the effective air mass ratio is more accurate than that of the normal air mass flow.

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Development of a Mass Estimation Algorithm Using the Impact Test Data of Nuclear Power Plant

  • Kim, J.S.;I.K. Hwang;Lee, D.Y.;C.S. Ham;Kim, T.H.
    • Nuclear Engineering and Technology
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    • 제32권3호
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    • pp.227-234
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    • 2000
  • It is known that loose parts in the reactor coolant system (RCS) cause serious damage to the systems. This paper is concerned with estimating the mass of a loose part in the steam generator of a nuclear power plant. We developed the mass estimation algorithm based on the Hertz theory in order to estimate the mass of the loose parts and applied the algorithm to the impact test data of YGN3. The mass estimation values were compared with real values in order to verify the algorithm. The result showed that the average error of the mass estimation value is less than 27%.

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선형 영구자석 동기전동기의 최소자승법을 적용한 질량 추정 (Mass Estimation of a Permanent Magnet Linear Synchronous Motor by the Least-Squares Algorithm)

  • 이진우
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2005년도 전력전자학술대회 논문집
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    • pp.427-429
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    • 2005
  • In order to tune the speed controller in the linear servo applications the accurate information of a mover mass including a load mass is always required. This paper suggests the mass estimation method of a permanent magnet linear synchronous motor(PMLSM) by using the parameter estimation method of Least-Squares algorithm. First, the deterministic autoregressive moving average(DARMA) model of the mechanical dynamic system is derived. The application of the Least-Squares algorithm shows that the mass can be accurately estimated both in the simulation results and in the experimental results.

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수직축 선형 영구자석 동기전동기의 질량 추정 (Mass Estimation of a Permanent Magnet Linear Synchronous Motor Applied at the Vertical Axis)

  • 이진우;지준근;목형수
    • 전력전자학회논문지
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    • 제13권6호
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    • pp.487-491
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    • 2008
  • 선형 서보 응용분야에 사용되는 속도제어기를 정밀하게 조정하기 위해서는 부하를 포함한 가동부 전체의 정밀한 질량이 필요하다. 본 논문에서는 수직축 선형 영구자석 동기전동기의 가동부 질량을 추정하기 위한 방법으로 축차 최소자승 추정 알고리즘을 적용한 질량 추정방법을 제안한다. 먼저 수직축 선형 영구자석 동기 전동기의 기계적인 동적 시스템에 대한 DARMA(deterministic autoregressive moving average)모델을 유도하고, 유도된 DARMA모델에 축차 최소자승 추정 방법을 적용한 질량 추정방법을 제안하며, Matlab/Simulink를 이용한 시뮬레이션 및 실험 결과를 제시하여 제안한 방법으로 수직축 질량을 무부하 및 부하 시 모두 정밀하게 추정할 수 있음을 보였다.

대형천연가스차량의 공연비제어기 설계를 위한 엔진모델 (An Engine Model of a Heavy-Duty Compressed Natural Gas Engine for Design of an Air-Fuel Ratio Controller)

  • 심한섭;이태연
    • 한국공작기계학회논문집
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    • 제12권5호
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    • pp.80-87
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    • 2003
  • Air partial pressure ratio and inlet air mass flow are influenced by water vapor and gaseous fuel in mixture on Compressed Natural Gas (CNG) engines. In this paper, the effects of the water vapor and the gaseous fuel that change the air mass flow and the air-fuel ratio are studied. Effective air mass ratio is defined as the air mass flow divided by mixture mass flow, and also it is applied to the estimation of the inlet air mass flow and the air-fuel ratio. The presence of the gaseous fuel and the water vapor in the mixture reduces the air partial pressure and the effective air mass ratio of the CNG engines. The experimental results for the CNG engine show that estimation of the air-fuel ratio based upon the effective air mass ratio is more accurate than that of a normal mode.

동적 저울의 진동응답 측정에 의한 질량 추정 알고리즘 (Mass-estimation Algorithm by Vibration Response Measurement of Dynamic Balance)

  • 김병삼
    • 한국음향학회지
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    • 제19권5호
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    • pp.71-78
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    • 2000
  • Quickness and precision are the two most important requirements for an industrial scale used in production lines. In this paper, a new approach, "Mass-estimation algorithm by vibration-response measurement of dynamic balance", is presented to improve some of drawbacks in conventional scales. The system, consisted of velocity and displacement sensors, spring scale, analog-digital converter and microcomputer, is based on full utilization of dynamic mass measurement of velocity and displacement via microcomputer-assisted real time monitoring. The resulting system, when combined with appropriate mass estimation algorithm software, has shown its effectiveness in terms of two desirable characteristics required.

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Markov chain-based mass estimation method for loose part monitoring system and its performance

  • Shin, Sung-Hwan;Park, Jin-Ho;Yoon, Doo-Byung;Han, Soon-Woo;Kang, To
    • Nuclear Engineering and Technology
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    • 제49권7호
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    • pp.1555-1562
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    • 2017
  • A loose part monitoring system is used to identify unexpected loose parts in a nuclear reactor vessel or steam generator. It is still necessary for the mass estimation of loose parts, one function of a loose part monitoring system, to develop a new method due to the high estimation error of conventional methods such as Hertz's impact theory and the frequency ratio method. The purpose of this study is to propose a mass estimation method using a Markov decision process and compare its performance with a method using an artificial neural network model proposed in a previous study. First, how to extract feature vectors using discrete cosine transform was explained. Second, Markov chains were designed with codebooks obtained from the feature vector. A 1/8-scaled mockup of the reactor vessel for OPR1000 was employed, and all used signals were obtained by impacting its surface with several solid spherical masses. Next, the performance of mass estimation by the proposed Markov model was compared with that of the artificial neural network model. Finally, it was investigated that the proposed Markov model had matching error below 20% in mass estimation. That was a similar performance to the method using an artificial neural network model and considerably improved in comparison with the conventional methods.