• 제목/요약/키워드: sinusoidal data

검색결과 142건 처리시간 0.024초

Rotor Failures Diagnosis of Squirrel Cage Induction Motors with Different Supplying Sources

  • Menacer, Arezki;Champenois, Gerard;Nait Said, Mohamed Said;Benakcha, Abdelhamid;Moreau, Sandrine;Hassaine, Said
    • Journal of Electrical Engineering and Technology
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    • 제4권2호
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    • pp.219-228
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    • 2009
  • The growing application and the numerous qualities of induction motors (1M) in industrial processes that require high security and reliability levels has led to the development of multiple methods for early fault detection. However, various faults can occur, such as stator short-circuits and rotor failures. Traditionally the diagnosis machine is done through a sinusoidal power supply, in the present paper we study experimentally the effects of the rotor failures, such as broken rotor bars in function of the ac supplying, the load and show the impact of the converter from diagnosis of the machine. The technique diagnosis used is based on the spectral analysis of stator currents or stator voltages respectively according to the types of induction motor ac supplying. So, four different ac supplying are considered: ${\odot}$ the IM is directly by the balanced three-phase network voltage source, ${\odot}$ the IM is fed by a sinusoidal current source given the controlled by hysteresis, ${\odot}$ the IM is fed (in open loop) by a scalar control imposing through ratio V/f=constant, ${\odot}$ the IM is controlled through a vector control using space vector pulse width modulation (SVPWM) technique inverter with an outer speed loop.

DSP 칩을 이용한 에뮬레이터 설계 (Design of Emulator using DSP Chip)

  • 이대영;이재학;김진민;김현호;배현덕
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1993년도 하계학술대회 논문집 A
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    • pp.453-455
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    • 1993
  • In this research, the digital signal processing PC board which employs TI's TMS320C25 is implemented. The board can perform following functions. spectrum analysis of speech and repetitive signal, digital filters emulation by convolution, signal generation of sinusoidal wave, rectangular wave etc.. In this system, communications between PC and DSP board. program down-loading to DSP board and recording and graphic of acquired and processed data in DSP board are executed by PC. Parallel interface and buffer memory are used in communications. Data acquisition and operation are carried out in DSP board. Resultant data are transmitted to PC and output through DAC.

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VIIRS와 MODIS 자료를 활용한 중분류 토지이용별 알베도 분석 (Analysis of Albedo by Level-2 Land Use Using VIIRS and MODIS Data)

  • 이용관;정지훈;장원진;김진욱;김성준
    • 대한원격탐사학회지
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    • 제38권6_1호
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    • pp.1385-1394
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    • 2022
  • 본 연구에서는 MODerate resolution Imaging Spectroradiometer (MODIS) 자료를 활용하여 20년(2002-2021)의 중분류 토지피복별 알베도 변화를 분석하고, Visible Infrared Imaging Radiometer Suite (VIIRS)의 10년(2012-2021) 자료를 활용해 MODIS 자료와의 차이를 분석하였다. MODIS와 VIIRS의 알베도 자료는 Bidirectional Reflectance Distribution Function (BRDF) 모델을 활용해 생산된 Sinusoidal Tile Grid 기반 500 m 공간해상도의 일단위 알베도 자료 MCD43A3와 VNP43IA3를 우리나라 범위에 대하여 구축하였다. Python 3.9 기반으로 작성된 코드를 활용하여 Reprojection을 하였으며, Resampling method는 Nearest neighbor를 적용하였다. 알베도 분석에는 단파 영역(Shortwave)의 White sky albedo와 Black sky albedo를 활용하였다. MODIS 자료를 활용한 20년의 알베도 분석 결과, 모든 토지이용에서 알베도가 상승하는 경향이 나타났다. 2000년대(2002-2011)에 비해 2010년대(2012-2021)의 평균 알베도가 산림 지역에서 0.0027의 가장 큰 상승값을 보였고, 그 다음으로 초지가 0.0024의 상승값을 보였다. VIIRS와 MODIS의 알베도를 비교한 결과, VIIRS의 알베도가 0.001에서 0.1 만큼 더 큰 것으로 나타났으며, 이는 영상의 촬영시기에 따른 지표면 반사도와 센서의 특성 차이에 의한 것으로 판단된다.

연성 효과를 고려한 마이크로스피커 왜율분석 (Analysis of Total Harmonic Distortion in Microspeaker Considering Coupling Effect)

  • 권중학;김광석;방기창;황상문
    • 한국소음진동공학회논문집
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    • 제18권4호
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    • pp.473-479
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    • 2008
  • With the advent of mobile phone, digital multimedia broadcasting(DMB) service is to be realized for multimedia data communication. For an acoustic part, a smaller and lighter microspeaker is also soon to be realized as an MP3 song player and a speakerphone. Sound quality in the microspeaker is becoming more important in mobile phones. It is evaluated by total harmonic distortion(THD). THD is the proportion of higher order frequencies output response to sinusoidal input signal. It is affected by uneven magnetic distribution and nonlinear response of diaphragm. In this paper, harmonic distortion is analyzed by considering magnetic and mechanical coupling effects. Simulated results of THD are compared with experimental data. Results show that THD in lower frequency range is higher due to high displace on voice coil and high mechanical response of high order frequency.

연성 효과를 고려한 마이크로스피커 왜율분석 (Analysis of total harmonic distortion in microspeaker considering coupling effect)

  • 권중학;김광석;방기창;황상문
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2008년도 춘계학술대회논문집
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    • pp.236-241
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    • 2008
  • With the advent of mobile phone, Digital multimedia broadcasting (DMB) service is to be realized for multimedia data communication. For an acoustic part, a smaller and lighter microspeaker is also soon to be realized as an MP3 song player and a speakerphone. Sound quality in the microspeaker is becoming more important in mobile phones. It is evaluated by total harmonic distortion (THD). THD is the proportion of higher order frequencies output response to sinusoidal input signal. It is affected by uneven magnetic distribution and nonlinear response of diaphragm. In this paper, harmonic distortion is analyzed by considering magnetic and mechanical coupling effects. Simulated results of THD are compared with experimental data. Results show that THD in lower frequency range is higher due to high displace on voice coil and high mechanical response of high order frequency.

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특이값 접근방법에 의한 정현파의 수의 결정에 관한 연구 (Determination of the number of sinusoidal frequencies by a new singular value approach)

  • 안태천;류창선;이동윤;황금찬
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1989년도 추계학술대회 논문집 학회본부
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    • pp.467-469
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    • 1989
  • A new singular value approach is presented and analized in order to determine the number of multi pie sinsoidal frequencies from the finite noisy data. Simulations are conducted for Akaike's information criterion(AIC), Rissanen's shortest data description(MDL) and a new singular value approach, in covariance matrix based methods. And then performances are compared.

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최적제어와 신경회로망을 이용한 능동형 현가장치 제어 (Active Suspension System Control Using Optimal Control & Neural Network)

  • 김일영;정길도;이창구
    • 한국정밀공학회지
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    • 제15권4호
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    • pp.15-26
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    • 1998
  • Full car model is needed for investigating as a entire dynamics of vehicle. In this study, 7DOF of full car model's dynamics is selected. This paper proposes the output feedback controller based on optimal control theory. Input data and output data from the optimal controller are used for neural network system identification of the suspension system. To do system identification, neural network which has robustness against nonlinearities and disturbances is adapted. This study uses back-propagation algorithm to train a multil-layer neural network. After obtaining a neural network model of a suspension system, a neuro-controller is designed. Neuro-controller controls suspension system with off-line learning method and multistep ahead prediction model based on the neural network model and a neuro-controller. The optimal controller and the neuro-controller are designed and then, both performances are compared through. For simulation, sinusoidal and rectangular virtual bumps are selected.

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자기상관유사행렬을 이용한 과도기적 신호의 분석 (Analysis of Transient Signal Using Autocorrelation-like Matrix)

  • 최규성;김영수
    • 한국통신학회논문지
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    • 제23권7호
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    • pp.1689-1698
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    • 1998
  • 본 논문에서는 잡음환경하에서의 과도기형태 신호의 매개변수를 효율적으로 추정하기 위한 새로운 방법을 제안한다. 이 방법은 선형예측모델을 토대로 하여 확장된 차수를 갖는 자기상관유사행렬의 truncated singular value decomposition을 이용한다. 제안된 자기상관유사행렬의 우수성을 보여주기 위하여 감쇄계수가 같은 경우와 감쇄계수가 다른 경우에 대하여 각각 일반적인 데이터 행렬방법과 통계적 성능을 비교분석하였다. 시뮬레이션 결과 데이터 행렬 방법보다 자기상관유사행렬 방법의 통계적 성능이 보다 우수함을 알 수 있었다. 이러한 결과는 부가된 백색잡음의 자기상관지연값이 클 경우에 잡음의 영향이 어느정도 줄어든다는 성질로 부터 기인한다.

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FEM과 BEM을 이용한 한국형 고속전철의 전동소음 예측 (Prediction of Rolling Noise of Korean Train Express Using FEM and BEM)

  • 김관주
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2001년도 추계학술대회논문집 II
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    • pp.555-564
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    • 2001
  • Wheel-rail noise is normally classified into three catagories : rolling, squeal and impact noise. In this paper, rolling noise caused by the irregularity between a wheel and rail is analysed as follows: The irregularity between the wheel and rail is assumed as combination of sinusoidal profiles. Wheel-rail contact stiffness is linearized by using Hertzian contact theory, and then contact force between the wheel and rail is calculated. Vibration of the rail and wheel is calculated theoretically by receptance method or FEM depending on the geometry of wheel or rail for the frequency range of 100-5000Hz, important for noise generation. The radiation caused by those vibration is computed by BEM. To verify this analysis tools, rolling noise is calculated by preceding analysis steps using typical roughness data and it is compared with experimental rolling noise data. This analysis tools show reasonable results and used for the prediction of KTX rolling noise.

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Prediction of behavior of fresh concrete exposed to vibration using artificial neural networks and regression model

  • Aktas, Gultekin;Ozerdem, Mehmet Sirac
    • Structural Engineering and Mechanics
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    • 제60권4호
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    • pp.655-665
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    • 2016
  • This paper aims to develop models to accurately predict the behavior of fresh concrete exposed to vibration using artificial neural networks (ANNs) model and regression model (RM). For this purpose, behavior of a full scale precast concrete mold was investigated experimentally and numerically. Experiment was performed under vibration with the use of a computer-based data acquisition system. Transducers were used to measure time-dependent lateral displacements at some points on mold while both mold is empty and full of fresh concrete. Modeling of empty and full mold was made using both ANNs and RM. For the modeling of ANNs: Experimental data were divided randomly into two parts. One of them was used for training of the ANNs and the remaining part was used for testing the ANNs. For the modeling of RM: Sinusoidal regression model equation was determined and the predicted data was compared with measured data. Finally, both models were compared with each other. The comparisons of both models show that the measured and testing results are compatible. Regression analysis is a traditional method that can be used for modeling with simple methods. However, this study also showed that ANN modeling can be used as an alternative method for behavior of fresh concrete exposed to vibration in precast concrete structures.