• 제목/요약/키워드: Mode Indicator Functions

검색결과 7건 처리시간 0.02초

항공기 지상 진동 시험 및 동특성 모델의 개선 (The Ground Vibration Test on an Aircraft and FE Model Update)

  • 유홍주;변관화;박금룡
    • 소음진동
    • /
    • 제8권4호
    • /
    • pp.690-699
    • /
    • 1998
  • This paper discusses the techniques, procedures and the results of the ground vibration test(GVT) performed on the development aircraft and the simple procedure of FE model updating technique from the GVT results. The GVT was carried out using random excitation technique with MIMO(Multi-Input-Multi-Output) data acquistion method, and taking full advantage of poly-reference global parameter estimation technique to identify the vibration modes. In dynamic FE modeling, the aircraft was represented by beam elements and all dynamic analysis was performed using MSC/NASTRAN for this model. In updating procedure, the stiffness of the beam model was adjusted iteratively so as to get the natural frequencies and mode shapes close to the GVT results.

  • PDF

비행탑재용 레이다의 코히어런트 송수신단 설계 및 잡음지수 해석 (Design and Noise Figure Analysis of Coherent Transceiver for Airborne Radar)

  • 우덕제;김상중;이택경
    • 한국항행학회논문지
    • /
    • 제8권1호
    • /
    • pp.38-47
    • /
    • 2004
  • 레이다에서 도플러 측정과 MTI(Moving Targer Indicator), 고해상도 등의 기능을 수행하기 위해서는 송신 및 수신회로 전체가 코히어런트 시스템으로 동작하여야 한다. 본 논문에서는 코히어런트로 동작하는 레이다의 송수신단을 설계하기위해 TWTA(Traveling Wave Tube Amplifier)와 STALO(Stable Local Oscillator) 및 COHO(Coherent Oscillator)를 사용하였으며, 설계된 수신단에서의 잡음지수를 계산하였다. 계산된 잡음지수로 레이다 방적식을 이용하여 각 송신모드별로 최대 탐지 거리를 산출하였다.

  • PDF

Output-only modal parameter identification for force-embedded acceleration data in the presence of harmonic and white noise excitations

  • Ku, C.J.;Tamura, Y.;Yoshida, A.;Miyake, K.;Chou, L.S.
    • Wind and Structures
    • /
    • 제16권2호
    • /
    • pp.157-178
    • /
    • 2013
  • Output-only modal parameter identification is based on the assumption that external forces on a linear structure are white noise. However, harmonic excitations are also often present in real structural vibrations. In particular, it has been realized that the use of forced acceleration responses without knowledge of external forces can pose a problem in the modal parameter identification, because an external force is imparted to its impulse acceleration response function. This paper provides a three-stage identification procedure as a solution to the problem of harmonic and white noise excitations in the acceleration responses of a linear dynamic system. This procedure combines the uses of the mode indicator function, the complex mode indication function, the enhanced frequency response function, an iterative rational fraction polynomial method and mode shape inspection for the correlation-related functions of the force-embedded acceleration responses. The procedure is verified via numerical simulation of a five-floor shear building and a two-dimensional frame and also applied to ambient vibration data of a large-span roof structure. Results show that the modal parameters of these dynamic systems can be satisfactorily identified under the requirement of wide separation between vibration modes and harmonic excitations.

Use of hazardous event frequency to evaluate safety integrity level of subsea blowout preventer

  • Chung, Soyeon;Kim, Sunghee;Yang, Youngsoon
    • International Journal of Naval Architecture and Ocean Engineering
    • /
    • 제8권3호
    • /
    • pp.262-276
    • /
    • 2016
  • Generally, the Safety Integrity Level (SIL) of a subsea Blowout Preventer (BOP) is evaluated by determining the Probability of Failure on Demand (PFD), a low demand mode evaluation indicator. However, some SIL results are above the PFD's effective area despite the subsea BOP's demand rate being within the PFD's effective range. Determining a Hazardous Event Frequency (HEF) that can cover all demand rates could be useful when establishing the effective BOP SIL. This study focused on subsea BOP functions that follow guideline 070 of the Norwegian Oil and Gas. Events that control subsea well kicks are defined. The HEF of each BOP function is analyzed and compared with the PFD by investigating the frequency for each event and the demand rate for the components. In addition, risk control options related to PFD and HEF improvements are compared, and the effectiveness of HEF as a SIL verification for subsea BOP is assessed.

KSR-III의 전기체 모달 시험 (Ground Vibration Test for Korea Sounding Rocket - III)

  • 우성현;김영기;이동우;문남진;김홍배
    • 한국소음진동공학회:학술대회논문집
    • /
    • 한국소음진동공학회 2002년도 춘계학술대회논문집
    • /
    • pp.441-447
    • /
    • 2002
  • KSR-III(Korea Sounding Rocket - III), which is being developed by Space Technology R&D Division of KARI(Korea Aerospace Research Institute) will be launched in late 2002. It is a three-stage, liquid propellant rocket which can reach 250 km altitude and will carry out observation of ozone layer and scientific experiments, such as microgravity experiment, and atmospheric measurement. KSR-III is believed to be an intermediate to the launch vehicle capable of carrying a satellite to its orbit. Space Test Department of KARI performed GVT(Ground Vibration Test) fer KSR-III EM at Rocket Test Building of KARI. GVT is very important for predicting the behavior of rocket in its operation, developing flight control program and performing aerodynamic analysis. This paper gives an introduction of rocket GVT configuration and information on test procedures, techniques and results of It. In this test. to simulate free-free condition, test object hung in the air laterally by 4 bungee cords specially devised. For the excitation of test object, pure random signal by two electromagnetic shakers was used and total 22 frequency response functions were achieved. Polyreference parameter estimation was performed to identify the modal parameters with MIMO(Multi-Input-Multi-Output) method. As the result of the test, low frequency mode shapes and modal parameters below 60Hz were identified

  • PDF

인공신경회로망을 이용한 저항 점용접의 품질감시 (The Use of Artificial Neural Networks in the Monitoring of Spot Weld Quality)

  • 임태균;조형석;장희석
    • Journal of Welding and Joining
    • /
    • 제11권2호
    • /
    • pp.27-41
    • /
    • 1993
  • The estimation of nugget sizes was attempted by utilizing the artificial neural networks method. Artificial neural networks is a highly simplified model of the biological nervous system. Artificial neural networks is composed of a large number of elemental processors connected like biological neurons. Although the elemental processors have only simple computation functions, because they are connected massively, they can describe any complex functional relationship between an input-output pair in an autonomous manner. The electrode head movement signal, which is a good indicator of corresponding nugget size was determined by measuring the each test specimen. The sampled electrode movement data and the corresponding nugget sizes were fed into the artificial neural networks as input-output pairs to train the networks. In the training phase for the networks, the artificial neural networks constructs a fuctional relationship between the input-output pairs autonomusly by adjusting the set of weights. In the production(estimation) phase when new inputs are sampled and presented, the artificial neural networks produces appropriate outputs(the estimates of the nugget size) based upon the transfer characteristics learned during the training mode. Experimental verification of the proposed estimation method using artificial neural networks was done by actual destructive testing of welds. The predicted result by the artifficial neural networks were found to be in a good agreement with the actual nugget size. The results are quite promising in that the real-time estimation of the invisible nugget size can be achieved by analyzing the process variable without any conventional destructive testing of welds.

  • PDF

고객 간 관계 네트워크가 조직성과에 미치는 영향: 페이스북 기업 팬페이지를 중심으로 (Effects of Customers' Relationship Networks on Organizational Performance: Focusing on Facebook Fan Page)

  • 전수현;곽기영
    • 지능정보연구
    • /
    • 제22권2호
    • /
    • pp.57-79
    • /
    • 2016
  • 최근 소셜 네트워크 서비스는 소비자와의 관계 마케팅 확산 및 확장을 위한 중요한 채널로 인식되며 많은 관심을 받고 있다. 기업이 온라인 환경에서 성공하기 위해서는 기업과 고객 사이의 관계 구축뿐만 아니라 고객들 간의 관계에 초점을 맞출 필요가 있다. 본 연구에서는 페이스북 팬 페이지에 참여하는 사용자들 사이의 네트워크를 분석하여 기업의 비즈니스 성과에 고객 간 네트워크의 구조적 특성이 미치는 영향을 실증적으로 분석하였다. 이를 위해 네트워크 데이터는 코스피 상장 기업 가운데 페이스북 팬 페이지에 100개 이상의 게시글을 올린 54개 기업으로부터 수집하였으며, 수집된 네트워크 데이터는 각 사용자를 노드로 하고 동일한 마케팅 활동에 대해 참여한 사용자간의 관계를 링크로 한 원모드 비방향 이진 네트워크(one-mode undirected binary network)이다. 본 연구에서는 이러한 네트워크 데이터를 핸들링하여 사용자들 간의 활동 관계를 분석할 수 있는 네트워크 지표(밀도, 글로벌 클러스터링 계수, 최단거리평균, 직경)를 도출하였으며, 이러한 고객 간 네트워크의 구조적 특징을 파악할 수 있는 지표와 기업의 과거실적(순이익), 그리고 미래 예측성과(토빈의 Q) 간의 관계를 분석하였다. 본 연구는 학문적 관점에서 소셜 미디어 채널을 비즈니스 관점에서 연구하려는 연구자들에게 소셜네트워크분석 방법을 통한 새로운 접근법을 제시한다. 실무적인 관점에서 본 연구는 소셜미디어를 통해 마케팅 활동을 수행하려는 기업의 관리자들에게 네트워크의 지표를 이용한 지능형 마케팅 서비스를 수행할 수 있는 토대를 제공할 것으로 기대한다.