• 제목/요약/키워드: Full Matrix Capture

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Full Matrix Capture 데이터를 이용한 균열 영상화 (Reconstructing Flaw Image Using Dataset of Full Matrix Capture Technique)

  • 이태훈;김용식;이정석
    • 비파괴검사학회지
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    • 제37권1호
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    • pp.13-20
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    • 2017
  • 일반 위상배열초음파 시스템은 배열된 개별의 소자에 시간지연을 적용함으로써 초음파 빔을 조향하고 초음파 이미지를 구성한다. 반면, full matrix capture(FMC)은 위상배열탐촉자에서 가능한 모든 송수신 조합의 A-scan 데이터 전체를 수집하는 신호 수집 방법이며, FMC 데이터의 후처리를 통해 기존 위상배열초음파와 동등한 이미지뿐만 아니라 기존 위상배열초음파에서 구현하지 못하는 다양한 이미지를 합성할 수 있다. 본 논문에서는, 균열 형태의 결함을 영상화할 수 있는 LLL mode total focusing method(TFM)에 대한 기본 알고리즘을 기술하고, 실험 및 초음파 시뮬레이션을 통해 수집된 FMC 데이터에 대해 이 기법을 적용하여 결함의 이미지를 합성하였다.

Full Matrix Capture 기법을 통한 초음파신호 영상화 향상 연구 (Study on Enhancements to Ultrasonic Data Imaging Using Full Matrix Capture Technique)

  • 이태훈;윤병식;이정석
    • 비파괴검사학회지
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    • 제35권5호
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    • pp.299-306
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    • 2015
  • 일반 위상배열 시스템에서는 다수의 압전소자를 가지는 탐촉자의 개별 소자에 인가하는 시간지연을 조절함으로써 초음파빔을 전자적으로 제어하고 초음파 영상을 획득한다. 반면, full matrix capture(FMC) 기술은 위상배열 탐촉자에 대해 하나의 소자에서 초음파를 입사시킨 신호를 모든 압전소자에서 수신하고, 이 방법으로 모든 가능한 송수신 조합의 신호 데이터를 수집하는 방법이다. 이 FMC 데이터는 후처리를 통해 초음파 영상으로 재구성될 수 있으며, 기존 위상배열 초음파 영상과 동등한 영상뿐만 아니라 가상적으로 관심영역의 모든 지점에 집속하여 분해능과 선명도가 향상된 total focusing method(TFM) 영상으로도 합성이 가능하다. 본 논문에서는 일반 위상배열장치를 이용하여 FMC가 가능하도록 시스템을 구현하고, 취득된 FMC 신호로부터 sector B-scan 및 TFM 이미지를 영상화하는 알고리즘에 대한 연구를 수행하였다.

Multiobjective PI/PID Control Design Using an Iterative Linear Matrix Inequalities Algorithm

  • Bevrani, Hassan;Hiyama, Takashi
    • International Journal of Control, Automation, and Systems
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    • 제5권2호
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    • pp.117-127
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    • 2007
  • Many real world control systems usually track several control objectives, simultaneously. At the moment, it is desirable to meet all specified goals using the controllers with simple structures like as proportional-integral (PI) and proportional-integral-derivative (PID) which are very useful in industry applications. Since in practice, these controllers are commonly tuned based on classical or trial-and-error approaches, they are incapable of obtaining good dynamical performance to capture all design objectives and specifications. This paper addresses a new method to bridge the gap between the power of optimal multiobjective control and PI/PID industrial controls. First the PI/PID control problem is reduced to a static output feedback control synthesis through the mixed $H_2/H_{\infty}$ control technique, and then the control parameters are easily carried out using an iterative linear matrix inequalities (ILMI) algorithm. Numerical examples on load-frequency control (LFC) and power system stabilizer (PSS) designs are given to illustrate the proposed methodology. The results are compared with genetic algorithm (GA) based multiobjective control and LMI based full order mixed $H_2/H_{\infty}$ control designs.

Fully nonlinear time-domain simulation of a backward bent duct buoy floating wave energy converter using an acceleration potential method

  • Lee, Kyoung-Rok;Koo, Weoncheol;Kim, Moo-Hyun
    • International Journal of Naval Architecture and Ocean Engineering
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    • 제5권4호
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    • pp.513-528
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    • 2013
  • A floating Oscillating Water Column (OWC) wave energy converter, a Backward Bent Duct Buoy (BBDB), was simulated using a state-of-the-art, two-dimensional, fully-nonlinear Numerical Wave Tank (NWT) technique. The hydrodynamic performance of the floating OWC device was evaluated in the time domain. The acceleration potential method, with a full-updated kernel matrix calculation associated with a mode decomposition scheme, was implemented to obtain accurate estimates of the hydrodynamic force and displacement of a freely floating BBDB. The developed NWT was based on the potential theory and the boundary element method with constant panels on the boundaries. The mixed Eulerian-Lagrangian (MEL) approach was employed to capture the nonlinear free surfaces inside the chamber that interacted with a pneumatic pressure, induced by the time-varying airflow velocity at the air duct. A special viscous damping was applied to the chamber free surface to represent the viscous energy loss due to the BBDB's shape and motions. The viscous damping coefficient was properly selected using a comparison of the experimental data. The calculated surface elevation, inside and outside the chamber, with a tuned viscous damping correlated reasonably well with the experimental data for various incident wave conditions. The conservation of the total wave energy in the computational domain was confirmed over the entire range of wave frequencies.

소셜 네트워크 분석을 활용한 항공서비스 품질 비교 (Comparisons of Airline Service Quality Using Social Network Analysis)

  • 박주현;이현철
    • 산업경영시스템학회지
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    • 제42권3호
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    • pp.116-130
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    • 2019
  • This study investigates passenger-authored online reviews of airline services using social network analysis to compare the differences in customer perceptions between full service carriers (FSCs) and low cost carriers (LCCs). While deriving words with high frequency and weight matrix based on the text analysis for FSCs and LCCs respectively, we analyze the semantic network (betweenness centrality, eigenvector centrality, degree centrality) to compare the degree of connection between words in online reviews of each airline types using the social network analysis. Then we compare the words with high frequency and the connection degree to gauge their influences in the network. Moreover, we group eight clusters for FSCs and LCCs using the convergence of iterated correlations (CONCOR) analysis. Using the resultant clusters, we match the clusters to dimensions of two types of service quality models ($Gr{\ddot{o}}nroos$, Brady & Cronin (B&C)) to compare the airline service quality and determine which model fits better. From the semantic network analysis, FSCs are mainly related to inflight service words and LCCs are primarily related to the ground service words. The CONCOR analysis reveals that FSCs are mainly related to the dimension of outcome quality in $Gr{\ddot{o}}nroos$ model, but evenly distributed to the dimensions in B&C model. On the other hand, LCCs are primarily related to the dimensions of process quality in both $Gr{\ddot{o}}nroos$ and B&C models. From the CONCOR analysis, we also observe that B&C model fits better than $Gr{\ddot{o}}nroos$ model for the airline service because the former model can capture passenger perceptions more specifically than the latter model can.