• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2003년도 추계학술대회논문집
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• pp.361-364
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• 2003

The safe operation and reliable maintenance of nuclear power plants is one of the most fundamental and important tasks. It is known that a loose part such as a disengaged and drifting metal inside of reactor coolant systems might lead to a serious damage because of their impact on the components of the coolant system. In order to estimate the impact position of a loose par, three accelerometers attached to the wall of the coolant system have been used. These accelerometers measure the vibration of the coolant system induced by loose part impact. In the conventional analysis system, the low pass filtered version of the vibration data was used for the estimation of the position of a loose part. It is often difficult to identify the initial point of the impact signal by using just a low passed time signal because the impact wave is dispersed during propagation into the sensor. In this paper, the impact signal is analysed by use of various time frequency methods including the short time Fourier transform(STFT), the wavelet transform, and the Wigner-Vill distribution for finding a convenient way to identify the starting point of a impact signal and their advantages and limits are discussed.

• 동력기계공학회지
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• 제14권6호
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• pp.75-82
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• 2010

In this study, the topics for free-surface wave simulation, nonlinear hydrodynamic force, and the critical resonance frequency of so-called ${\tau}=U{\omega}/g$=1/4 are discussed. A high-order spectral/boundary element method is newly adapted as an efficient numerical tool. This method is one of the most efficient numerical methods by which the nonlinear gravity waves can be simulated and hydrodynamic forces also can be calculated in time domain. In this method, the velocity potential is expressed as the sum of surface potential and body potential. Then, surface potential is solved by using the high-order spectral method and body potential is solved by using the high-order boundary element method. By the combination of these two methods, the wave-making problems by a submerged sphere oscillating with forward speed under the free-surface are solved in time domain.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2004년도 추계학술대회논문집
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• pp.311-316
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• 2004

For the location estimation in the conventional LPMS(Loose Parts Monitoring System), it is popular to employ a group delay among the acoustic sensors installed within a 3 ft range from the impact source. However, there exists inherent error in determining the arrival time differences of the generated wave group among the neighboring sensors. To overcome this problem in this study, the two dimensional approach has been proposed and applied to effectively estimate the arrival time differences by using a continuous wavelet transform which is one of the linear time-frequency analysis methods. The experiment has been performed to both the plate model and the real steam generator in a nuclear power plant. It is expected that the reliability of the location estimation could be enhanced when the proposed time-frequency method is introduced into the LPMS system.

• 한국항행학회논문지
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• 제7권1호
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• pp.38-50
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• 2003

본 논문에서는 도선상에서 발생하는 결함 위치와 이상 유무를 감지하는 새로운 고분해능 반사측정법인 시간-주파수 영역반사측정법 (TFDR, Time-Frequency Domain Reflectometry)을 제안하였다. 고전적인 반사측정법들은 단지 시간 또는 주파수의 한 영역에서 분석되어져 왔으나, 본 논문에서 제시한 TFDR은 도선의 결함 위치와 이상 유무를 발견하기 위해 과도신호의 시간과 주파수 영역의 정보를 동시에 이용할 수 있는 시간-주파수 분석기법으로 특성화하였다. TFDR의 기준신호 설계는 측정 케이블의 물리적 성질들을 고려하여 주파수 밴드를 결정하며, 도선의 결함감지와 추정은 시간-주파수 상호상관관계 함수에 의해 이루어진다. TFDR 시스템을 이용하여 여러 결함 상태를 가진 실제 coaxial cable (RG-142, RG-400)에 대해 실험하였고 정확성을 입증하기 위해 TDR (Time Domain Reflectometry) 장비와 성능을 비교하였다. 본 논문에서는 TFDR이 TDR보다 작은 오차로 결함을 찾아냄을 나타내고 있으며, 측정된 정확도는 TFDR의 오차율이 0.5% 이하로 TDR (54750A/54754A) 장비보다 성능이 월등히 우수하다는 것을 알 수 있다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 추계종합학술대회 논문집(1)
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• pp.489-492
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• 2000

Film Bulk Acoustic Wave Resonator(FBAR) used in microwave region was analyzed with Finite Difference Time-Domain Methods(FDTD) in this paper. FBAR have been analyzed with one dimensional Mason model analysis or Finite Element methods(FEM), but the first couldn't analyze effect of area variation and spurious characteristics, the second had difficulty in element separation because of thin electrode. So in this paper FBAR was analyzed by Finite Difference Time-Domain Methods and it's results were transformed to frequency domain using Discrete Fourier Transform.

• 가정과삶의질연구
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• 제19권1호
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• pp.95-110
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• 2001

Recently a number of large discount store and those of its users was increasing. The purpose of this study is to investigate the tendency of impulse buying and analyzes factors which influence impulse buying. The data had been collected from questionaries with 474 consumers who visit large discount store. The major statistical methods used for data analysis are frequency, percentile, mean, t-test, multiple regression analysis, one-way ANOVA, and Duncans multiple range test utilizing SPSS Win pc+program. The results of this study are as follows : 1. The four different kind of impulse buying is measured. The overall level of impulse buying is 2.76. Suggestion impulse buying(M=3.19) is the highest, and the lowest is pure impulse buying(M=2.66). 2. In the area of demographic variables is significantly different in the age of twenties and thirties(p<.05). A visit frequency and membership. In the area of in-store variables is significantly different by all factors at impulse buying except waiting time. Especially, point-of-purchase(POP) advertisement and discount sale are very important variables. A visit frequency and membership are significantly different in the area of consumer-related variables. 3. Waiting time, a visit frequency, a POP advertisement, and a discount sale have the positive effects on overall impulse buying. Pure impulse buying is influenced by shopping list, POP advertisement and a stores atmospher. Buying companion, membership, kind of store and waiting time have the effect on reminder impulse buying. Suggestion impulse buying is influenced by school career, shopping list and POP advertisement. Planned impulse buying is influenced by sex, POP advertisement, buying companion and discount sale.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2013년도 춘계학술대회 논문집
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• pp.623-625
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• 2013

Tire hydroplaning is one of the most important tire performances, especially for safety on wet road surface. And nowadays various methods such as FEM and FVM analysis are being applied to design and improve tire hydroplaning performance, along with on-vehicle test of tire hydroplaning. Conventional evaluation of tire hydroplaning has been done by comparing peak lateral acceleration and vehicle speed in time domain. But in this paper, frequency domain analysis of lateral acceleration when hydroplaning at high speed has been carried out to get the quantitative comparison between test tires. And it is concluded that the frequency spectrum analysis of lateral acceleration gives much better discrimination, as compared to the conventional time domain analysis of lateral acceleration and vehicle speed.

• 대한의용생체공학회:의공학회지
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• 제29권4호
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• pp.278-285
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• 2008

In this study the complex-valued continuous wavelet transform (CWT) has been applied in detection of Electrocardiograms (ECG) as response to various signal classification methods such as Fourier transforms and other tools of time frequency analysis. Experiments have shown that CWT may serve as a detector of non-stationary signal changes as ECG. The tested signal is corrupted by short time events. We applied CWT to detect short-time event and the result image representation of the signal has showed us that one can easily find the discontinuity at the time scale representation. Analysis of ECG signal using complex-valued continuous wavelet transform is the first step to detect possible changes and alternans. In the second step, modulus and phase must be thoroughly examined. Thus, short time events in the ECG signal, and other important characteristic points such as frequency overlapping, wave onsets/offsets extrema and discontinuities even inflection points are found to be detectable. We have proved that the complex-valued CWT can be used as a powerful detector in ECG signal analysis.

• Journal of Power Electronics
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• 제13권3호
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• pp.329-338
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• 2013

In this paper, the charging characteristics of series resonant type high voltage capacitor chargers considering the transformer stray capacitance have been studied. The principles of operation for the four operational modes and the mode changes for the four different switching frequency sections are explained and analyzed in the range of switching frequency below the resonant frequency. It is confirmed that the average charging currents derived from the above analysis results have non-linear characteristics in each of the four modes. The resonant current, resonant voltage, charging current, and charging time of this capacitor charger as variations of the switching frequency, series parallel capacitance ratio ($k=C_p/C_s$), and output voltage are calculated. From the calculation results, the advantages and disadvantages arising from the parallel connection of this stray capacitance are described. Some methods to minimize charging time of this capacitor charger are suggested. In addition, the results of a comparative test using two transformers whose stray capacitances are different are described. A 1.8 kJ/s prototype capacitor charger is assembled with a TI28335 DSP controller and a 40 kJ, 7 kV capacitor. The analysis results are verified by the experiment.

• 한국기계가공학회지
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• 제2권2호
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• pp.60-66
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• 2003

For the estimation of chatter lobe boundary it is very important to calculate the natural mode of cutting process. There are many time series algorithms for getting the natural mode of structural endmilling dynamics considering the cutting process. In this study, we have compared several time series methods such as AR algorithm, ARX, ARMAX, ARMA, Box Jenkins, Output Error, Recursive ARX, Recursive ARMAX considering the sampling frequency. As a results, the ARX, ARMAX and IV 4 are more desirable algorithms for the calculation of modal parameters such as natural frequency and damping ratio In endmilling operation. Also these algorithms may be adopted for the natural mode estimation of endmilling operation for chatter lobe prediction.