• Title/Summary/Keyword: On-line estimation

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The Distribution of the Normal Traffic Loads on the Steel Plate Girder Bridge (실동하중에 의한 강판형교의 교통하중 분포)

  • Woo, Sang-Ik;Jung, Kyoung-Sup
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.4 no.2
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    • pp.103-111
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    • 2000
  • The objectives of the study are to know the strain distribution and modal dynamic behaviour of steel bridge girders by actual traffic load. The live load effect depends on many parameters including the span length, gross vehicle weight, axle weight, axle configuration so on. For the estimation of static and dynamic characteristic, strain data caused by moving loads and traffic characteristics of passing vehicle under actual traffic load have measured using Bridge Weigh in Motion. To confirm the reliability of BWIM system, strain data measured using the $120{\Omega}$ strain gauge under the same condition. It is considered that the data acquired from BWIM system have reliability through the analysis and comparison between stress measured by strain data from BWIM and computed by FEM. Additionally according to the measured strain data of up-line and down-line on the highway, the up-line bridge grows more faster than the down-line bridge and girder 4 and 5 carry more load when vehicles pass the inner line and girder 2 and 3 does when vehicles pass the outer line as this case(the bridge composed with 5 girders).

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A Study on the Camera Calibration Algorithm using the Grid Type Frame with Different Line Widths (다른 선폭들로 구성된 격자형 교정판을 이용한 카메라 교정 알고리즘에 관한 연구)

  • Jeong, Jun-Ik;Han, Young-Bae;Rho, Do-Hwan
    • Proceedings of the KIEE Conference
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    • 1998.07g
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    • pp.2333-2335
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    • 1998
  • Recently, the development of computer achieves a system which is similar to the mechanics of human visual system. The 3D measurement using monocular vision system must be achieved a camera calibration. So far, the camera calibration technique required reference target in a scene. But, these methods are inefficient because they have many calculation procedures and difficulties in analysis. Therefore, this paper proposes a native method that without reference target in a scene. We use the grid type frame with different line widths. This method uses vanishing point concept that possess a rotation parameter of the camera and perspective ration that perfect each line widths into a image. We confirmed accuracy of calibration parameter estimation through experiment on the algorithm with a grid paper with different line widths.

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Probabilistic Estimation of Area- and Feature-based Stereo Matching Results Considering Uncertatinty (불확실성을 고려한 영역과 특징기반 스테레오 정합결과의 확률적 통합)

  • 문인혁
    • Proceedings of the IEEK Conference
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    • 2001.06d
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    • pp.69-72
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    • 2001
  • This paper proposes a positional estimation method for extracted line features by stereo vision. Based on given reference plane, planar surfaces corresponding the given plane are first extracted. Then, features in the planar surfaces are selected. Using the Extended Kalman Filter the feature positions are estimated by combining area- and feature-based stereo matching results. Experimental results show the proposed method is feasible.

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Bad Data Detection Method in Power System State Estimation (전력계통 상태 추정에서의 불량정보 검출기법)

  • Choi, Sang-Bong;Moon, Young-Hyun
    • Proceedings of the KIEE Conference
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    • 1990.11a
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    • pp.239-243
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    • 1990
  • This paper presents a algorithm to improve accuracy and reliability in state estimation of contaminated bad data. The conventional algorithms for detection of bad data confront the problems of excessive memory requirements and long computation time. In order to overcome measurement compensation approach is proposed to reduce computation time and partitioned measurement error model has the advantage of remarkable reduction in computation time and memory requirements in estimated error computation. The proposed algorithm has been tested for IEEE sample systems, which shows its applicability to on-line power systems.

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Design of Time-varying Stochastic Process with Dynamic Bayesian Networks

  • Cho, Hyun-Cheol;Fadali, M.Sami;Lee, Kwon-Soon
    • Journal of Electrical Engineering and Technology
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    • v.2 no.4
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    • pp.543-548
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    • 2007
  • We present a dynamic Bayesian network (DBN) model of a generalized class of nonstationary birth-death processes. The model includes birth and death rate parameters that are randomly selected from a known discrete set of values. We present an on-line algorithm to obtain optimal estimates of the parameters. We provide a simulation of real-time characterization of load traffic estimation using our DBN approach.

Real-time Stability Assessment and Energy Margin Estimation using Fuzzy (퍼지를 이용한 실시간 안정도 판별과 에너지 마진의 추정)

  • Choi, Won-Chan;Kim, Soo-Nam;You, Seok-Ku
    • Proceedings of the KIEE Conference
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    • 1999.07c
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    • pp.1239-1241
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    • 1999
  • In this paper, we propose real time transient stability assessment and energy margin estimation using fuzzy approximate reasoning. The proposed method used rotor angle, kinetic energy and acceleration power of generators at clearing time as fuzzy input. In order to calculate energy margin in transient energy function (TEF), we obtained controlling unstable equilibrium point (UEP) using mode of disturbance procedure (MOD). The proposed algorithm is tested on 4-machine, 6-bus, 7-line power system to prove of effectiveness.

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Estimation of $CO_2$ Laser Weld Bead by Using Multiple Regression (다중회귀분석을 이용한 $CO_2$레이저 용접 비드 예측)

  • 박현성;이세헌;엄기원
    • Journal of Welding and Joining
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    • v.17 no.3
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    • pp.26-35
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    • 1999
  • On the laser weld production line, a slight alteration of the welding condition changes the bead size and the strength of the weldment. The measurement system is produced by using three photo-diodes for detection of the plasma and spatter signal in $CO_2$ laser welding. The relationship between the sensor signals of plasma or spatter and the bead shape, and the mechanism of the plasma and spatter were analyzed for the bead size estimation. The penetration depth and the bead width were estimated using the multiple regression analysis.

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Bad Data Detection Method in Power System State Estimation (전력계통 상태주정에서의 불량정보 검출기법)

  • 최상봉;문영현
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.40 no.2
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    • pp.144-153
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    • 1991
  • This paper presents an algorithm to improve accuracy and reliability in the state estimation of contaminated bad data. The conventional algorithms for detection of bad data have the problems of excessive memory requirements and long computation time. In order to overcome these problems, a measurement compensation approach is proposed to reduce computation time, and the partitioned measurement error model has the advantage of remarkable reduction in computation time and memory requirements in estimated error computation. The proposed algorithm has been tested for IEEE sample systems, which shows its applicability to on-line power systems.

Feature Compensation Method Based on Parallel Combined Mixture Model (병렬 결합된 혼합 모델 기반의 특징 보상 기술)

  • 김우일;이흥규;권오일;고한석
    • The Journal of the Acoustical Society of Korea
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    • v.22 no.7
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    • pp.603-611
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    • 2003
  • This paper proposes an effective feature compensation scheme based on speech model for achieving robust speech recognition. Conventional model-based method requires off-line training with noisy speech database and is not suitable for online adaptation. In the proposed scheme, we can relax the off-line training with noisy speech database by employing the parallel model combination technique for estimation of correction factors. Applying the model combination process over to the mixture model alone as opposed to entire HMM makes the online model combination possible. Exploiting the availability of noise model from off-line sources, we accomplish the online adaptation via MAP (Maximum A Posteriori) estimation. In addition, the online channel estimation procedure is induced within the proposed framework. For more efficient implementation, we propose a selective model combination which leads to reduction or the computational complexities. The representative experimental results indicate that the suggested algorithm is effective in realizing robust speech recognition under the combined adverse conditions of additive background noise and channel distortion.

Target Localization Using Geometry of Detected Sensors in Distributed Sensor Network (분산센서망에서 표적을 탐지한 센서의 기하학적 구조를 이용한 표적위치 추정)

  • Ryu, Chang Soo
    • Journal of the Institute of Electronics and Information Engineers
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    • v.53 no.2
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    • pp.133-140
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    • 2016
  • In active sonar field, a target detection and localization based on a distributed sensor network has been much studied for the underwater surveillance of the coast. Zhou et al. proposed a target localization method utilizing the positions of target-detected sensors in distributed sensor network which consists of detection-only sensors. In contrast with a conventional method, Zhou's method dose not require to estimate the propagation model parameters of detection signal. Also it needs the lower computational complexity, and to transmit less data between network nodes. However, it has large target localization error. So it has been modified for reducing localization error by Ryu. Modified Zhou's method has better estimation performance than Zhou's method, but still relatively large estimation error. In this paper, a target localization method based on modified Zhou's method is proposed for reducing the localization error. The proposed method utilizes the geometry of the positions of target-detected sensors and a line that represents the bearing of target, a line can be found by modified Zhou's method. This paper shows that the proposed method has better target position estimation performance than Zhou's and modified Zhou's method by computer simulations.