• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2010년도 추계학술대회 논문집
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• pp.538-539
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• 2010

• 플랜트 저널
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• 제17권4호
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• pp.53-60
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• 2021

본 연구에서는 국내 진동감시시스템 제작업체인 (주)나다와 발전소 회전기기 진동데이터 취득 및 분석에 효과적인 휴대용 진동분석기를 개발하고자 하였다. 개발된 휴대용 진동분석기의 하드웨어는 측정기기의 교정을 위한 측정 불확도를 통해 얻은 측정값을 시스템에서 보정함으로써 측정오차를 최소화하였고, 고속 데이터 처리로 높은 분해능을 가진 신호처리 장치로 구성되었다. 소프트웨어 구조는 다양한 진동 플롯을 구현하여 상세한 분석프로그램을 실행하며, 회전기기 운전 중 외란으로 발생하는 노이즈 측정 및 제거에 효과적인 알고리즘을 적용하였다. 개발품은 사용자의 이동 편의성 증대 및 고속 데이터 처리로 분해능을 높임으로써 성능향상은 물론, 국산화 개발에 따른 구입비용 절감에도 크게 기여하였다.

• Journal of Mechanical Science and Technology
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• 제19권6호
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• pp.1304-1312
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• 2005

The ride and noise characteristics of a vehicle are significantly affected by the vibration transferred to the body through the chassis mounting points in the engine and suspension. It is known that body attachment stiffness is an important factor of idle noise and road noise for NVH performance improvement. The body attachment stiffness serves as a route design aimed at isolating the vibration generated inside the car due to the exciting force of the engine or road. The test result of the body attachment stiffness is shown in the FRF curve data; the stiffness level and sensitive frequency band are recorded by the data distribution. The stiffness data is used for analyzing the parts that fail to meet the target stiffness at a pertinent frequency band. The analysis shows that the target frequency band is between 200 and 500 Hz. As a result of the comparison in a mounted suspension, the analysis data is comparable to the test data. From these results, there is a general agreement between the predicted and measured responses. This procedure makes it possible to find the weak points before a proto car is produced, and to suggest proper design guidelines in order to improve the stiffness of the body structure.

• 대한토목학회논문집
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• 제28권5A호
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• pp.641-647
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• 2008

본 논문은 상시진동데이터로부터 구조물의 고유진동수 및 감쇠비를 추정하는 기법을 소개한다. 제안된 기법은 TDD기법에서 추출된 모드형상과 상호상관신호로부터 직교 잡음이 제거된 자유진동함수를 추출하고 시스템 인식기술을 적용하여서 각 모드별 고유진동수와 감쇠비를 추정한다. 제안 알고리즘의 정확도는 수치적으로 기존의 기법과 비교분석 되었다. 제안 알고리즘의 현장 적용성 검토는 서해대교 보강형의 수직방향 가속도에 대한 상시진동데이터를 통하여 검증되었으며, 총 24개의 저차모드가 추출되었다.

• 소음진동
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• 제6권5호
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• pp.547-554
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• 1996

Diagnosis is one of the dominant applications of expert systems technology today. Most diagnosis system is apply to if-then rule, and it is called production systems which consist of linguistic data. A new diagnosis method is suggested in this paper, in which the fuzzy reasoning theory is used to diagnosis the rotating machinery. Diagnosis algorithm is made fuzzy reasoned by using linguistic data of fuzziness. Linguistic data for fuzziness was described in fuzzy scale and fuzzy membership function. Then, those lingnistic data have been synthesized and defuzzificated according to every item observed. This system is successfully used for linguistic data in fuzziness of rotating machinery. The results indicate that the realistic application can be built in precision diagnosis system.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1997년도 춘계학술대회 논문집
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• pp.677-682
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• 1997

Vibration diagnosis of steam turbine generator is essential for safe operation. For a fast few decades, several data base systems for diagnosis of steam turbine generators have been developed and proved useful. However, there still remains a problem in using data base systems such that they require an expert engineer who has a deep insight or knowledg into the system. Moreover,such data base systems can not give any information if the input is not completely fit with data base. This paper presents an effective method for vibration diagnosis of steam turbine generators using fuzzy inference. The proposed method includes also a strategy to overcome the drawback of data base system such that one cannot obtain any information when the input is insufficient or not exact. A computer program is written to realize the entire procedure for the diagnosis. Three realistic problems are dealt with to show the effectiveness of the proposed method.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2012년도 춘계학술대회 논문집
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• pp.88-93
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• 2012

Recently data centers are being established or expanded according to IT industry development. A data center must be to install emergency generator. In case of the data center located the densely populated urban area, the operating noise of an emergency generator can be the cause of complains. In this case, in order to establish an effective and economical measure and quantitative and thorough review is needed by noise & vibration specialists. To achieve this, in this study, it is suggested noise reduction measure using noise measurement data and 3D noise analysis method.

• 한국정밀공학회지
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• 제22권3호
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• pp.46-51
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• 2005

The vacuum cleaner motor runs at very high speed for suction power. Specially, motor power is provided by the impeller being rotated at very high speed. The centrifugal fan consists of the impeller, the diffuser, and the circular casing. Due to the high rotating speed of the impeller and small gap distance between the impeller and the diffuser, the level of noise in the centrifugal fan is at BPF(Blade Passage Frequency) and its harmonic frequencies. In order to calculate the sound pressure of centrifugal fan, unsteady flow data are needed. The cause of noise is obtained by dividing the fluid noise by exhaust flow of fan and vibration noise by rotational vibration of vacuum cleaner fan motor. Until now, an accelerometer has been used to measure vibration. However, it can not measure vibration in some parts of brush and commutator because of motor construction and 3-D vibrating mode. This study was conducted to perform accurate analysis of vibration and aerodynamic sound for fan motor in a vacuum cleaner using a laser vibration analyzer. A silent fan motor can be designed using the data measured in this study.

• International Journal of Safety
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• 제4권2호
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• pp.18-23
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• 2005

There are many electrical connections in the electric apparatus and most fires due to a fault contact result from a failure or misuse of electric apparatus and installation. The fault contact happens between electrical connections by the loose and the mechanical vibration. In this paper, we have investigated thermal and electrical properties of screwed electric contacts due to the mechanical vibration. The exciter was connected to a signal generator and power amplifier that provided the vibration frequency and amplitude. The vibration, temperature and voltage data were sent to a data acquisition system (DAQ). In the case that fault contact took place, the arc happened between the screwed electric contact and electric wire, heat due to the arc was transmitted to the adjacent insulators, for which the oxide could be generated more. In addition, a spark was generated and the insulator began to melt. Thus, the possibility of electrical fire became the highest in this case. Finally, when the fault contact takes place due to vibration, the hazard of an electric accident is very high.

• 소음진동
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• 제5권3호
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• pp.361-371
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• 1995

The vibration of reactor internals should be monitored and diagnosed for the early detection of the failure of reactor pressure vessel. This can be performed by analyzing the time-history signals from the excore neutron flux detertors. The conventional method is an on-demand system which generates power spectra through Fast Fourier Transform(FFT) algorithm. The operator can make his own decision to detect abnormal vibration using these spectra. This post- processing method, however, requires special expertise in the reactor noise analysis and signal processing for random data. It may mislead the operator into erroneous decision-making, if he is a novice in reactor noise analysis. Hence this study is focused on the automated monitoring and diagnosis procedure for the reactor noise analysis, especially on the Fuzzy algorithm to recognize the pattern of the vibration of Core Suport Barrel. The excore neutron signals of Yonggwang Nuclear Power Plant unit 3 is acquired and analyzed using conventional FFT spectra and tested to adopt the Fuzzy method. An Automated Monitoring and Diagnosis System for CSB Vibration using this Fuzzy method is proposed. Furthermore, vibration data for CSB of Youggwang Nnclear Power Plant unit 3 is presented.