• Journal of KSNVE
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• v.8 no.4
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• pp.580-585
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• 1998

• Journal of KSNVE
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• v.13 no.4
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• pp.242-249
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• 2003

• KEPCO Journal on Electric Power and Energy
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• v.4 no.2
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• pp.101-105
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• 2018

In this paper, the kernel regression model is applied for the case study of gas turbine abnormal state analysis. In addition to vibration analysis at the remote site, the kernel regression model technique can is useful for analyzing abnormal state of rotor vibration signals of gas turbine in power plant. In monitoring based on data-driven techniques correlated measurements, the fault free training data of shaft vibration obtained during normal operations of gas turbine are used to develop a empirical model based on auto-associative kernel regression. This data-driven model can be used to predict virtual measurements, which are compared with real-time data, generating residuals. Any faults in the system may cause statistically abnormal changes in these residuals and could be detected. As the result, the kernel regression model provides information that can distinguish anomalies such as sensor failure in a shaft vibration signal.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.12 no.4
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• pp.349-358
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• 2019

This paper aimed at collecting sensor signals to extract characteristic parameter of the rotor. A vibration test rig has been developed to perform model tests. Signal characteristics were analyzed when driving normally. Envelope FFT Analysis is used to extract vibration components caused by periodic impacts from other vibration factors. Signal analysis was performed when load changes were given to speed sensors and vibration test rigs that show low frequency characteristics of the rotor and signal analysis according to rotational speed. The acceleration signal measured in the bearing housing has a small amplitude and produces only the rotational frequency component and harmonic component of the motor. As the number of rotations increases, the amplitude of acceleration can be seen. As the rotational speed increases, it can be seen that there is a difference in the shape of the original data and compared with the acceleration FFT graph, it can be seen that the noise is strong at low frequencies and the corresponding rotational frequency components are clearly represented. It can be seen that changing the load does not increase the main rotational frequency component.

• The Proceedings of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.11 no.6
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• pp.104-110
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• 1997

In thes paper, the soung signals due to the collisions against the inside wall by conductint particles with in coaxial cylindrical electrodes, and the corresponding frequency spectrum are analyzed and discribed.Thesesound signals were detected and measured using ultrasonic and vibration sensors attached to the exterior of the GIS enclosure. In the case where a particls is bouncing about between these coaxoal electrodes, the sound signal was found to be more than 10[dB] greater than the background noise due to no particlel. Also, in the case where a particle collides and insulation breakdown caesed by the particle made it possible to determine the condition of the insulation inside the sealed GIS. Lastly, the relationship between the peak amplitude and RMS voltage of the measured signal, the diameter and length of the particle was analyzed. Using thes analysis, it is possible to confirm the size of particle.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2012.06a
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• pp.157-159
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• 2012

바람이나 파도에 의해서 해상 부유체의 진동이 발생하는데, 이러한 진동은 부유체와 부유체에 접안시킨 이동체 사이에 접촉을 야기하기 때문에 부유체나 이동체에 손상이 발생한다. 이 논문에서는 AR(Autoregressive) 모델과 ARX(AR with eXogenous) 모델을 이용하여 부유체에 발생하는 진동 모델링에 관해서 기술한다. 연구 방법은, 기준 잡음신호를 생성하여 기준 모델 계수를 구하고, 모의 충격신호를 생성하여 충격 모델 계수를 구한 후, 충격 신호만을 추출하여 가해진 충격의 정도를 분석 평가하였다. 본 연구는 향후 요트와 요트계류장의 안전확보 시스템 개발을 위한 기초 연구로 활용할 예정이다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2001.05a
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• pp.374-377
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• 2001

A diagnosis system that provides early warnings regarding machine malfunction is very important for rolling mill so as to avoid great losses resulting from unexpected shutdown of the production line. But it is very difficult to provide early warnings in rolling mill. Because dynamics of rolling mill is non-linear. This paper shows a chaotic behaviour of vibration signal in rolling mill using embedding method. Not only phase plane and Poincare map are implemented but also FFT and histogram of vibration signal in rolling mill is presented by embedding method.

• Korean Journal of Optics and Photonics
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• v.11 no.5
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• pp.306-311
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• 2000

This paper deals with the development of Laser Doppler Vibrometer (LDV) that can mea~ure the tlequency and amphlude of the ultrasonic vibralion. Hc-Ne laser (632.8 om) is used as a light source, and Michelson interferometer in winch frequency of the objective beam is shIfted by Bragg cell IS adopted The frequency modulated signal centered at 40 MHz flom the PIN diode IS amplified. down-col1vel1ed to 2.5 MHz, filtered and digiLized. The voltage output that is proportional to the velocity of the vibratwg surface is obtawed using digItal PLL. A microprocessor is used to extract the frequcncy aud amplitude of the vibratIOn from the voltage output. It is found that the developed LDV can measure up to 300 kHz vibratIOn and the mlillmUITI measurable amplitude is I nm at 300 kHz. We believe thatlhis LDV can be used to measure the vibratIOn of the heavy electric maclllnery and micro-size structures. tures.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2001.10a
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• pp.144-148
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• 2001

자동차의 발전과 함께 유지 보수를 위한 사용자의 요구는 급증하고 있으나 정비사의 부족으로 인해 경제성 및 신속성 등 이 문제가 되고 있고 이를 해결하기 위해 현재 개발되고 있는 장치들은 대부분 전자 제어 유닛에서 발생시키는 신호를 분석하거나 운전자와의 대화를 통하여 진단하는 방식으로 고장으로 인한 소음이나 진동등 운전자들의 주관적인 평가대상에 대해서는 적절한 해결책으로 제시해 주지 못하고 있다. 그러므로 계측에 의한 소음과 진동 데이터를 이용하여 전문가의 판단을 가지고 고장의 원인을 규명하며 운전자를 위한 오디오적인 표현을 해 줄 수 있는 진단 전문가 시스템이 필요하게 되었다. 본 논문에서는 자동차의 여러 단품중 쇼크 옵서버와 에어컨에 대하여 소음 진동 현상의 정상 및 이상 증상과 신호 계측 방법을 연구하였고 계측된 신호에 대해 패턴 화하여 인공 신경 회로망과 퍼지 추론을 통한 진단을 할 수 있는 알고리즘을 개발하였으며 차후 계속되는 연구에 사용될 정상 및 이상신호에 대한 기본적인 데이터 베이스를 구축하였다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.4 no.4
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• pp.759-765
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• 2000

A diagnosis system that provides early warnings regarding machine malfunction is very important for rolling mill so as to avoid great losses resulting from unexpected shutdown of the production line. But it is very difficult to provide early warnings in rolling mill. Because dynamics of rolling mill is non-linear. This paper shows a chaotic behavior of vibration signal in rolling mill using embedding method. Not only phase plane and Poincare map are implemented but also FH and histogram of vibration signal in rolling mill is presented by embedding method.