• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.14 no.6
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• pp.78-84
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• 2000

In this paper, the diagnosis technique was proposed by measuring and analyzing ultrasonic signals caused by partial discharge on the interface of cable joint. The measured ultrasonic signal was filtered by wavelet transform, and then the dominant signal of filtered signal was analyzed by fast fourier transform(FFT). As a result, it was confirmed that different characteristics were obtained with the moisture and the metal powder on the interface of cable joint and with voltage increment.

• Proceedings of the IEEK Conference
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• 1998.06a
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• pp.503-506
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• 1998

본 연구에서는 방대한 양의 데이터를 실시간으로 처리하기 위한 병렬 고속 디지털 신호처리시스템을 제안한다. 시스템의 성능을 평가할 수 있는 확률적인 분석방법을 제시하며, FFT 와 같이 보드간 또는 프로세서간 통신부담이 많은 알고리즘과 행렬연산과 같이 통신부담이 적은 알고리즘에 적용하여 본다. 제안한 시스템의 다양한 구성에 대하여 두 가지 알고리듬의 성능을 확률적 방법으로 평가하였으며, 그 결과는 알고리즘 분석에 듸한 성능수치와 근접함을 확인하였다. FFT는 프로세서 개수가 증가해도 보드수가 많아지면 성능이 감소하였으며, 행렬연산은 프로세서 개수에 비례하여 시스템의 성능이 선형적으로 증가함을 확인하였다.

• Proceedings of the Acoustical Society of Korea Conference
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• spring
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• pp.259-262
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• 1999

본 논문에서는 먼저 피아노 음을 FFT(Fast Fourier Transform)를 이용하여 주파수 영역으로 변환을 한 후, 크기(magnitude)와 위상(phase)에 대한 특성들을 분석한다 이 분석한 결과를 가지고 모델링을 함으로써 피아노 원음에 근접한 음을 만들 수 있다. 크기에서의 특성은 기본주파수와 고조파 부분에서 다른 부분에 비해 크기의 차이가 크다. 그래서 기본주파수와 고조파부분은 오차를 줄이기 위해 적은 데이터를 가지고 곡선의 적합성(Curve Fitting) 방법을 이용하고, 노이즈 부분은 기본주파수 전·후의 노이즈가 피아노 음색 특성에 중요한 역할을 하므로, 이 부분을 최고점과 최저점른을찾아 선형으로 모델링 하였고, 나머지 노이즈 부분은 적은 값을 가지므로 많은 데이터를 가지고 곡선의 적합성을 이용하였다. 위상은 크기에서 모델링한 결과를 바탕으로 모델링을 하였다 모델링을 한 결과를 가지고 역변환 FFT를 하면 피아노 원음에 매우 근접한 음을 생성할 수 있다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.3
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• pp.515-520
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• 2009

In this paper, the monitoring system was developed measuring the light signal emitted from the plasma in aluminum laser welding. Spectrum of plasma was measured using a spectrometer, and the photodiode was selected based on the spectrum analysis. The sensor signals for various welding conditions could be obtained, the characteristic of signal was closely related to the intensity and stability of plasma through mean value of signal and FFT analysis. The reason of signal fluctuation was behavior of plasma and keyhole and it was also connected with the surface bead shape of weld.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.421-422
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• 2021

In this paper, we develop an ultra-sensitive sensor and signal analysis system to measure the load on the wrist. The ultra-sensitive sensor inspired by the organs of a spider is manufactured and the measured signal attached to the wrist is analyzed using FFT (Fast Fourier Transform) and a fuzzy system.

• The Transactions of the Korea Information Processing Society
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• v.7 no.1
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• pp.65-73
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• 2000

This paper deals with a design and performance analysis of a parallel signal processing system based on TMS320C67x. With an emphasis on the board-level design of the processor unit four models are proposed with different memory configurations and internal bus schemes. Several approaches to parallel processing of 2D FFT are also presented to be used for performance analysis. The performance of four board models are estimated and compared in terms of the time spent for local memory access, inter-processor communication, and inter-board communication. The results of performance analysis show that, when performance and implementation complexity are taken into account, the model with both local and shared memories is the most desirable.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.19 no.6
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• pp.36-45
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• 2005

This paper addresses the application of motor current spectral analysis for the detection of rolling-element bearing damage in induction machines. We set the experimental test bed. They is composed of the normal condition bearing system, the abnormal rolling-element bearing system of 2 type induction motors with shaft deflection system by external force and a hole drilled through the outer race of the shaft end bearing of the four pole test motor. We have developed the embedded distributed fault tolerant and fault diagnosis system for industrial motor. These mechanisms are based on two 32-bit DSPs and each TMS320F2407 DSP module is checking stator current The effects on the stator current spectrum are described and related frequencies are also determined. This is an important result in the formulation of a fault detection scheme that monitors the stator currents. We utilized the FFT(Fast Fourier Transform), Wavelet analysis and averaging signal pattern by inner product tool to analyze stator current components. Especially, the analyzed results by inner product clearly illustrate that the stator signature analysis can be used to identify the presence of a bearing fault.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.12 no.5
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• pp.529-536
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• 2019

In this paper, the signals of the sensor for extracting characteristic parameters of the rotor are collected and the performance of the extraction technique is analyzed. To this end, a vibration test league was developed for conducting model tests to analyze the signal characteristics under normal operation. As a result, it is judged that no change in the measured the raw data amplitude will occur in the acceleration sensor with the unbalanced mass measured from the acceleration sensor. Performing FFT showed a significant increase in amplitude of the rotational frequency of 20 Hz as the unbalanced mass increased. The analysis results according to the change in the unequal mass of the speed sensor also showed a significant increase in the 1X Harmonics component, such as the acceleration sensor. There was no change in the amplitude of the acceleration sensor data when the misalignment occurred, and for the Envelope data, the amplitude of 2X (40 Hz) was increased depending on the degree of misalignment. The velocity sensor at change of misalignment also showed similar results to the acceleration sensor, and the peak was reduced at 600 Hz as the load increased in the frequency spectrum.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2004.05a
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• pp.77-82
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• 2004

There were many researches about the chatter vibration occur in the cutting process of machine tools. But there are in sufficient research parts ; the frequency about the chatter vibration and its characteristics and its nonlinear properties. This paper measured signals of vibration that occur before and immediately after and after the chatter vibration. This signals were analyzed through autospectrum obtained by the Fast Fourier Transform(FFT). And then, the nonlinear characteristis were analyzed by cepstrum analysis through FFT of autospectrun.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.14 no.5
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• pp.7-12
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• 2005

This paper presents several time series methods to analyze the chatter mechanics by using the power spectrum of these algorithms considering the cutting dynamics. In this study, several time series models such as AR(burg, forwardbackward, geometric lattice, instrument variable, least square, Yule Walker), ARX(1s, iv4), ARMAX, ARMA, Box Jenkins, Output Error were modeled and compared with one another. Finally, it was proven that time series modelings are also a desirable and reliable algorithm than the other conventional methods(FFT) for the calculation of the chatter mode in turning operation. Also, the spectrum of times series methods is a little bit more powerful than the FFT fer the detection of a high noisy and weak chatter mode. The radial cutting force Fy has been used for spectrum and chatter stability lobe analysis in this study.