• Title/Summary/Keyword: Power signals

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Classification and Compensation of DC Offset Error and Scale Error in Resolver Signals

  • Lee, Won;Moon, Jong-Joo;Im, Won-Sang;Park, June-Ho;Kim, Jang-Mok
    • Journal of Power Electronics
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    • v.16 no.3
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    • pp.1190-1199
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    • 2016
  • This study proposes a classification and compensation algorithm of two non-ideal output signals of a resolver to reduce position errors. Practically, a resolver generates position errors because of amplitude imbalance and quadrature imperfection between the two output signals of the resolver. In this study, a digital signal processor system based on a resolver-to-digital converter is used to reconstruct the two output signals of the resolver. The two output signals, "sin" and "cos," can be represented by a unit circle on the xy-plot. The classification and compensation of the errors can be obtained by using the radius and area of the circle made by the resolver signals. The method computes the integration of the areas made by the two resolver output signals to classify and compensate the error. This system cannot be applied during transient response given that the area integration during the transient state causes an error in the proposed method. The proposed method does not need any additional hardware. The experimental results verify the effectiveness of the proposed algorithm.

Human Emotion Recognition using Power Spectrum of EEG Signals : Application of Bayesian Networks and Relative Power Values (EEG 신호의 Power Spectrum을 이용한 사람의 감정인식 방법 : Bayesian Networks와 상대 Power values 응용)

  • Yeom, Hong-Gi;Han, Cheol-Hun;Kim, Ho-Duck;Sim, Kwee-Bo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.2
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    • pp.251-256
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    • 2008
  • Many researchers are studying about human Brain-Computer Interface(BCI) that it based on electroencephalogram(EEG) signals of multichannel. The researches of EEG signals are used for detection of a seizure or a epilepsy and as a lie detector. The researches about an interface between Brain and Computer have been studied robots control and game of using human brain as engineering recently. Especially, a field of brain studies used EEG signals is put emphasis on EEG artifacts elimination for correct signals. In this paper, we measure EEG signals as human emotions and divide it into five frequence parts. They are calculated related the percentage of selecting range to total range. the calculating values are compared standard values by Bayesian Network. lastly, we show the human face avatar as human Emotion.

A Review on Correlation between Music and Learning Activity Using EEG Signal Analysis (뇌파분석을 이용한 음악이 학습활동에 미치는 영향에 대한 고찰)

  • Yun-Seok Jang
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.2
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    • pp.367-372
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    • 2023
  • In this paper, we analyzed through the EEG signals how musical stimulus affects learning activities. Musical stimuli were divided into sedative and stimulative tendency music, preferred and non-preferred music, and the learning activity tasks were divided into mathematics tasks and memorization tasks. The signals measured in the EEG experiments were analyzed with the power spectrum of SMR waves known to be related to human concentration. Those spectra used for quantitative comparison in this paper. As a result the power of the EEG signals was observed to be greater than the case where music was given as a stimulus. Regardless of the type of task, the power of the EEG signals was observed to be greater in the case of sedative tendency than in the case of stimulative tendency, and the power of the EEG signals was observed to be greater in the case of favorite music than in the case of unfavorite music. From these results, it is estimated that if the musical stimulus exists, in the case of sedative tendency music, and in the case of favorite music, concentration can be increased than in the relative case.

Localization of partial discharge in power transformer by detecting UHF PD signal (UHF 부분방전 신호를 이용한 전력용 변압기 내부의 부분방전 위치 추정)

  • Ju, Hyung-Jun;Goo, Seun-Gun;Han, Ki-Sun;Park, Ki-Jun;Yoon, Jin-Yul
    • Proceedings of the KIEE Conference
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    • 2008.07a
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    • pp.147-148
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    • 2008
  • In this paper two kinds of techniques were compared for localization of PD(partial discharge) in power transformer and more useful method was suggested. Both of them, the time of arrival and the energy content method, were tested in 154kV single phase experimental transformer using UHF signal measurement. The former was using the difference of arrival time of recorded signals from four UHF sensors, the latter was based on the energy content in frequency spectra of signals detected at all sensors.

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SETTING OF HPA OUTPUT POWER IN COMS DATS CONSIDERING IMD CHARACTERISTICS

  • Park, Durk-Jong;Yang, Hyung-Mo;Ahn, Sang-Il
    • Proceedings of the KSRS Conference
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    • v.1
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    • pp.204-207
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    • 2006
  • COMS will receive two different meteorological signals in S-Band from IDACS (Image Data Acquisition and Control System) in ground station before transmitting them in L-Band to user station. MODCS (Meteorological Ocean Data Communication Subsystem) in satellite released the value of required PFD (Power Flux Density) to receive two signals. Thus, DATS (Data Acquisition and Transmission Subsystem) needs to send two signals to satellite with a satisfied EIRP. The value of minimum HPA (High Power Amplifier) output power was estimated by subtracting antenna directional gain and path loss between antenna and HPA from the needed EIRP in this paper. Besides the minimum output power of HPA, the maximum output power was also calculated with considering IMD (Inter-Modulation Distortion) characteristics. IMD is always occurred in the output of HPA when LRIT and HRIT are amplified by using single HPA as COMS application. In this paper, the setting of maximum output power was determined when the IMD of modelled HPA was corresponded to the requirement of MODCS.

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Stereo Echo Canceller Using Non-linear Pre-processing Filter (비선형 전처리 필터를 이용한 스테레오 음향반향 제거기)

  • 정일규;김현태;박장식;손경식
    • Proceedings of the IEEK Conference
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    • 2000.09a
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    • pp.193-196
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    • 2000
  • An stereophonic acoustic echo canceller cannot exactly estimate the echo path in the receiving room, because of the cross-correlation between stereo signals. In this paper, the new preprocessing filter is proposed to reduce the cross-correlation between the signals without influence on stereophonic sound. Two channel signals are linearly decorrelated by using orthogonality principles and the attenuated absolute values of the decorrelated signals are added to each channel input signals. Assuming that the power of each channel signal is larger than that of the cross-correlation, computational burden is reduced.

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A 1.5V 2㎓ Low-Power Peak Detector (1.5V 2㎓ 저전력 피크 디텍터의 설계)

  • 박광민
    • Proceedings of the IEEK Conference
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    • 2001.06b
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    • pp.149-152
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    • 2001
  • In this paper, a 1.5V 2㎓ low-power peak detector is presented. Analyzing the designed peak detector circuit which is composed with two NMOSs, two diodes, and two capacitors, the detection characteristic relationships are derived. The simulation results with SPICE for 2㎓ pulse signals and sinusoidal signals on the 1.5V supply voltages show the good detection characteristics for input signal levels of 50㎷~500㎷, and show very small power dissipation of 0.332㎽.

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The Effect of input signals for improving Power System Stabilizer(PSS) efficiency (전력계통 안정화장치(PSS)의 성능향상을 위한 입력신호 영향)

  • Hur, Jin;Kim, Dong-Joon;Kim, Tae-Kyun;Shin, Jeong-Hoon
    • Proceedings of the KIEE Conference
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    • 1999.11b
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    • pp.144-146
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    • 1999
  • This paper provides an analysis of the effect of input signals, such as acceleration power and generator shaft speed for improving Power System Stabilizer(PSS) efficiency. We consider a single machine and infinite bus system which is modeled by PSCAD/EMTDC. We choose an optimum stabilizer gain with respect to eigenvalue analysis and transient stability analysis to each input signal.

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A Study on Series Arc Detection Using Band-pass Filters (대역통과필터를 이용한 직렬아크 검출에 관한 연구)

  • Kim, Il-Kwon;Kim, Jin-Su;Park, Keon-Woo;Kim, Kwang-Soon;Kim, Young-Il
    • Proceedings of the KIEE Conference
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    • 2008.07a
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    • pp.1345-1347
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    • 2008
  • This paper described a method of determining whether arcing is present in a low-voltage wiring system. We simulated the series arcing that generated in electrical loads and fabricated a arc detection module which can discriminate between normal and arcing state. The module consists of a high-pass filter with a low cut-off frequency of 3 kHz to attenuate power frequency voltage and an active band-pass filter with a frequency of 4 kHz ${\sim}$ 8 kHz to detect series arc signals only. We tested an Incandescent lamp that was controlled by a dimmer and analysed. The module consists of a high-pass filter with a low cut-off frequency of 3 kHz to attenuate power frequency voltage by 80 dB and an active band-pass filter with a frequency of 4 kHz to detect series arc signals only. From the experimental results, we could detect series arc signals without an influence of non-linear loads.

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Analysis of Adjacent-Channel Leakage-Ratio of Wide-Band Power Amplifiers through Multi-Tone Signals with Statistical Similarity (다중 톤 신호의 통계적 특성 확보를 통한 광대역 신호 증폭기의 인접 채널 간섭 분석)

  • Park, Young-Cheol
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.22 no.12
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    • pp.1172-1175
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    • 2011
  • In this paper, a design method of multi-tone signals for the measurement of adjacent-channel power-ratios on power amplifiers is suggested. Because most tests for power amplifiers in production are performed with single-tone signals, its testing accuracy is not guaranteed as the signal complexity increases. Therefore, the application of multi-tone signals to the testing is suggested by optimized complex coefficients of each tones for the best statistical similarity to the original modulated signal. From the verification, a 802.11a signal was replaced with a multi-tone signal of N=10, with the complex coefficients generated by the suggested method. The resulting measurements on the ACLR of 2.4 GHz power amplifier showed successful accuracy of less than 1 dB discrepancy.