• 제목/요약/키워드: Real Normal Modes

검색결과 27건 처리시간 0.024초

On the Approximate Solution of Aircraft Landing Gear Under Nonstationary Random Excitations

  • Hwang, Jai-Hyuk;Kim, Jung-Soo
    • Journal of Mechanical Science and Technology
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    • 제14권9호
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    • pp.968-977
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    • 2000
  • The motion of an aircraft landing gear over a rough runway can be modeled by a nonclassically damped system subject to nonstationary random excitations. In this paper, the approximate analysis methods based on either the real or complex normal modes for the computation of nonstationary response covariances are proposed. It has been found by simulation involving a realistic example that, for the nonclassically damped random vibrational systems, the approximate solution method based on the complex normal mode is superior to other approaches with respect to the accuracy and computation time.

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승용차 차실모델의 진동 및 소음특성에 관한 연구 (A Study on the vibration and noise characteristics of vehicle compartment model)

  • 김석현
    • 산업기술연구
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    • 제9권
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    • pp.87-99
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    • 1989
  • It is desirable to predict the noise and vibration problems of a passenger car in its design stage for a better ride quality. Dominant frequencies of the noise inside a car range from about 50 Hz to 300 Hz and these are frequently caused by the coupling of the acoustic normal modes of the compartment cavity and structural modes of the body. In this paper, car interior noise problem is investigated in view of vibration-acoustic modes coupling and numerical simulation is performed on the interior noise. In the simulation, experimental modal data of the vehicle structure are utilized to improve the accuracy of the analysis. The results are in good agreement with those of experiment on a half scaled vehicle compartment model. Especially, strongly coupled modes can be predicted, which give useful informations to solve noise problems of real car at design stage.

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Priority Based Multi-Channel MAC Protocol for Real-Time Monitoring of Weapon Flight Test Using WSNs

  • Min, Joonki;Kim, Joo-Kyoung;Kwon, Youngmi;Lee, Yong-Jae
    • 센서학회지
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    • 제22권1호
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    • pp.18-27
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    • 2013
  • Real-time monitoring is one of the prime necessities in a weapon flight test that is required for the efficient and timely collection of large amounts of high-rate sampled data acquired by an event-trigger. The wireless sensor network is a good candidate to resolve this requirement, especially considering the inhospitable environment of a weapon flight test. In this paper, we propose a priority based multi-channel MAC protocol with CSMA/CA over a single radio for a real-time monitoring of a weapon flight test. Multi-channel transmissions of nodes can improve the network performance in wireless sensor networks. Our proposed MAC protocol has two operation modes: Normal mode and Priority Mode. In the normal mode, the node exploits the normal CSMA/CA mechanism. In the priority mode, the node has one of three grades - Class A, B, and C. The node uses a different CSMA/CA mechanism according to its grade that is determined by a signal level. High grade nodes can exploit more channels and lower backoff exponents than low ones, which allow high grade nodes to obtain more transmission opportunities. In addition, it can guarantee successful transmission of important data generated by high grade nodes. Simulation results show that the proposed MAC exhibits excellent performance in an event-triggered real-time application.

구분모드합성법을 이용한 증기터빈$\cdot$발전기축계의 진동해석 (Vibration Analysis of Steam Turbine-Generator Rotor System Using Component Mode Synthesis Method)

  • 양보석;김용한;최병근;이현
    • 소음진동
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    • 제9권2호
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    • pp.401-408
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    • 1999
  • A method is presented for the vibration analysis of steam turbine-generator rotor system based on the component mode synthesis method. The motion of each component of the system is described by superposing constraint mode associated with boundary coordinates and constrained normal modes associated with internal coordinates. This method using real fixed-interface modes allows for significant reduction in system model size while retaining the essential dynamic characteristics of the lower modes. The capability of this method is demonstrated in the natural frequency and unbalance response analysis of the steam turbine-generator rotor system in which the dynamics of the pedestal is considered. The results by the present method are compared with finite element method and trnasfer matrix method in terms of the accuracy and computing time.

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충격 공진법에 의한 대소 경계조건하 콘크리트 블록 내부결함 신호의 해석 (Analysis of Vibration Modes of Small and Large Concrete Blocks Containing Flaws by Impact Resonance Method)

  • 박석균;윤석수
    • 콘크리트학회지
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    • 제11권1호
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    • pp.161-171
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    • 1999
  • 본 연구는 비파괴 검사방법인 충격 공진법을 이용하여 결함을 갖는 콘크리트 시험체로부터의 반사신호를 정량적으로 해석하기 위한 연구이다. 충격 공진법은 비교적 저주파의 강한 에너지를 콘크리트내에 가하여 그 반사신호로부터 결함이나 경계층 등을 조사하기 때문에 굵은 골재 등을 포함하고 중량물인 콘크리트 구조물의 탐사에 유용하다. 그러나, 보나 기둥 등의 작은 경계를 갖는 콘크리트 시험체를 대상으로 할 경우에는 각 경계로부터 수평방향을 왕복하는 R-파의 영향이 크기 때문에 결함 또는 경계층으로부터의 반사신호인 수직방향으로부터의 P-파의 세기가 충분히 크지 못하면, 결함 등으로부터의 신호를 검출하기 어렵게 된다. 따라서, 본 연구에서는 시험체의 경계조건과 결함의 위치에 따라 발생 가능한 각 진동모드를 정량적으로 해석하는 방법을 연구하여 결함으로부터의 신호를 검출하는 방법에 대해 검토하였다. 그 결과, 각모서리의 길이가 50cm 이내의 작은 경계조건과 50cm의 깊은 두계를 갖는 콘크리트 시험체내의 결함에 대해서도 콘크리트가 부배합 조건이고 결함의 깊이가 30cm이내일 경우 정량적 탐사가 가능하며, 각 모서리의 크기가 충분히 큰 대형 시험체 조건에서는 보다 용이하고 폭넓게 다양한 조건의 결함 등에 대한 정량적 참사가 가능하였다.

결함 데이터를 필요로 하지 않는 연속 은닉 마르코프 모델을 이용한 새로운 기계상태 진단 기법 (New Machine Condition Diagnosis Method Not Requiring Fault Data Using Continuous Hidden Markov Model)

  • 이종민;황요하
    • 한국소음진동공학회논문집
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    • 제21권2호
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    • pp.146-153
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    • 2011
  • Model based machine condition diagnosis methods are generally using a normal and many failure models which need sufficient data to train the models. However, data, especially for failure modes of interest, is very hard to get in real applications. So their industrial applications are either severely limited or impossible when the failure models cannot be trained. In this paper, continuous hidden Markov model(CHMM) with only a normal model has been suggested as a very promising machine condition diagnosis method which can be easily used for industrial applications. Generally hidden Markov model also uses many pattern models to recognize specific patterns and the recognition results of CHMM show the likelihood trend of models. By observing this likelihood trend of a normal model, it is possible to detect failures. This method has been successively applied to arc weld defect diagnosis. The result shows CHMM's big potential as a machine condition monitoring method.

Comparative study on dynamic analyses of non-classically damped linear systems

  • Greco, Annalisa;Santini, Adolfo
    • Structural Engineering and Mechanics
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    • 제14권6호
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    • pp.679-698
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    • 2002
  • In this paper some techniques for the dynamic analysis of non-classically damped linear systems are reviewed and compared. All these methods are based on a transformation of the governing equations using a basis of complex or real vectors. Complex and real vector bases are presented and compared. The complex vector basis is represented by the eigenvectors of the complex eigenproblem obtained considering the non-classical damping matrix of the system. The real vector basis is a set of Ritz vectors derived either as the undamped normal modes of vibration of the system, or by the load dependent vector algorithm (Lanczos vectors). In this latter case the vector basis includes the static correction concept. The rate of convergence of these bases, with reference to a parametric structural system subjected to a fixed spatial distribution of forces, is evaluated. To this aim two error norms are considered, the first based on the spatial distribution of the load and the second on the shear force at the base due to impulsive loading. It is shown that both error norms point out that the rate of convergence is strongly influenced by the spatial distribution of the applied forces.

A Real Time Traffic Flow Model Based on Deep Learning

  • Zhang, Shuai;Pei, Cai Y.;Liu, Wen Y.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권8호
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    • pp.2473-2489
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    • 2022
  • Urban development has brought about the increasing saturation of urban traffic demand, and traffic congestion has become the primary problem in transportation. Roads are in a state of waiting in line or even congestion, which seriously affects people's enthusiasm and efficiency of travel. This paper mainly studies the discrete domain path planning method based on the flow data. Taking the traffic flow data based on the highway network structure as the research object, this paper uses the deep learning theory technology to complete the path weight determination process, optimizes the path planning algorithm, realizes the vehicle path planning application for the expressway, and carries on the deployment operation in the highway company. The path topology is constructed to transform the actual road information into abstract space that the machine can understand. An appropriate data structure is used for storage, and a path topology based on the modeling background of expressway is constructed to realize the mutual mapping between the two. Experiments show that the proposed method can further reduce the interpolation error, and the interpolation error in the case of random missing is smaller than that in the other two missing modes. In order to improve the real-time performance of vehicle path planning, the association features are selected, the path weights are calculated comprehensively, and the traditional path planning algorithm structure is optimized. It is of great significance for the sustainable development of cities.

Optimized Channel Coding of Control Channels for Mobile Packet Communication

  • Song, Young-Joon
    • Journal of electromagnetic engineering and science
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    • 제3권1호
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    • pp.50-56
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    • 2003
  • This paper proposes a coding scheme of control channel for mobile packet communication to maximize the minimum Hamming distance, which is based on shifting of basis vectors of Reed Muller code with optimized dynamic puncturing and/or(partial) sequence repetition. Since the maximum likelihood decoding can be performed using the extremely simple FHT(Fast Hadamard Transformation), it is suitable for real time optimum decoding of control channel information with very little complexity. We show applications of the proposed coding method to TFCI(Transport Format Combination Indicator) code in split and normal modes of 3GPP W-CDMA system. We also discuss how this method can reduce rate indication error over AWGN(Additive White Gaussian Noise) as well as fading channels when the proposed coding scheme is applied to 1xEV-DV system of $3^{rd}$TEX> generation partnership project 2(3GPP2) to indicate the data rate transmitted on the reverse traffic channel by a Mobile Station(MS).