• Journal of the Society of Naval Architects of Korea
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• v.60 no.6
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• pp.441-449
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• 2023

With the enforcement of environmental regulations by the International Maritime Organization, the market for eco-friendly ships is expanding, and ships using electric propulsion devices are emerging as a promising solution. Many studies have been conducted to predict the failure of ships, but most of them are mainly research on the main diesel engine of ships. As the ship's propulsion method changes, new data is needed to predict the failure of electric propulsion ships. In this paper aims to analyze the failure characteristics of the electric propulsion system in consideration of the difference in the type of failure between the internal diesel engine and the electric propulsion system. The ship's propulsion unit assumed a DC motor and a signal pattern for normal conditions and general failure modes, but the failure record of the electric propulsion device operated on the actual ship was not available, so it generated a failure signal for small electric motor equipment to identify the failure signal. Assuming unbalance, misalignment, and bearing failure, which are the primary failure modes of the ship's electric motor, a failure signal was generated using a "rotator vibration data generator," and the frequency band, size, and phase difference of the measured vibration signal were analyzed to analyze the characteristics of each failure condition. Finally, the characteristics of each failure condition were identified so that the signals according to the failure type could be classified.

• The Journal of the Acoustical Society of Korea
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• v.15 no.4E
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• pp.65-71
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• 1996

In shallow water with a thermocline, the characteristics of sound propagation strongly depend on the signal frequency. When only one of the source and the receiver is above the themocline, it is known that the intensity of the received signal changes largely and almost periodically as the signal frequency varies. This is the so-called channel resonance. By using the ray-mode approach, the formula relating the resonance frequency and the sound speed profile is obtained, and the resonance phenomenon is analyzed. Also this analysis is verified by numerical calculation.

• 한국정보디스플레이학회:학술대회논문집
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• 2003.07a
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• pp.718-721
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• 2003

It is often desirable that manufacturers and users can convert the reference white of display into the preferred color temperature by controlling the color temperature that is one of representative color characteristics of a light source. Accordingly, this paper proposes an efficient method of color compensation for displaying the uncalibrated video signal in PDP-TV and is also shown to be successfully coupled with flexible color temperature conversion based on the signal processing technique.

• Journal of KSNVE
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• v.6 no.4
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• pp.499-502
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• 1996

Interior noise, engine speed and vehicle speed are measured under transient road-load condition and interior noise signal is transformed by using the transient signal analysis methods, such as the spectrogram and wavelet transform. Using the analyzed results, subjective noise metrics such as the loudness, sharpness and articulation index at each vehicle speed can be estimated and characteristics of interior noise for various running modes can be discussed in the viewpoint of noise quality.

• 제어로봇시스템학회:학술대회논문집
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• 1992.10a
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• pp.829-833
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• 1992

This paper presents the design of an automated EEG analyzing system. The design considerations including processing speed, A/D conversion, filtering, and waveforms detection, are overviewed with the description of the associated EEG characteristics. The architecture of the currently implemented system consists of a p-controller based front-end signal processing unit and a host computer system. The data acquisition procedures are described along with a couple of illustrations of the acquired EEG/EOG signal.

• Journal of the Korean Institute of Telematics and Electronics A
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• v.28A no.1
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• pp.46-51
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• 1991

The new signal process circuit using ISFETs as two input devices of a MOS differential amplifier stage for application to a ISFET biosensor was developed and its operational characteristics simulated. For a single chip integration of ISFETs, developed signal process circuit and metal reference electrode, serial studies including process development and chip layout was carried out.

• Proceedings of the KIEE Conference
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• 1988.07a
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• pp.51-54
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• 1988

In this paper, Digital signal processing method is deserved by the tissue characteristic quantization. Linear phase velocity is studied using linear signal, and the slope which attenuation characteristics are decreased is analysed according to frequency increase. A more efficient method determining the minimum phase function is developed from the spectral magnitud function.

• Proceedings of the KIEE Conference
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• 2000.11c
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• pp.537-539
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• 2000

In this paper, the measured ultrasonic signal in GIS was filtered by wavelet transform, and then the origin signal and the filtered signals were analyzed by statistic operators. As a result, it was confirmed that different characteristics were obtained with the impact of particle and with partial discharge inception.

• Proceedings of the KSR Conference
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• 1998.05a
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• pp.287-290
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• 1998

Wheel impact due to the joint discontinuity is a major source of uncomfortable vibration in the railway vehicles. Since the impact signal is measured using sensors attached to the bogie and its energy content is small compared to the other vibrations from the machineries such as motors and gear systems, the seperation of the impact signal is generally difficult. In this study a technique using an evolutionary spectrum is proposed in order to estimate the impact signal due to the rail joint discontinuity.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1993.06a
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• pp.1305-1308
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• 1993

A novel digital signal processing technique based on fuzzy rules is proposed for estimating nonstationary signals, such as image signals, contaminated with additive random noises. In this filter, fuzzy rules are utilized to set the filter parameters, taking the local characteristics of the signal into consideration. The introduction of the fuzzy rules is effective, since the rules to set the filter parameters is usually expressed ambiguously. Computer simulations verify its high performance.