• 대한기계학회논문집A
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• 제21권10호
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• pp.1580-1588
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• 1997

A modeling method for the flapwise bending vibration of a rotating cantilever beam which has small slenderness ratio is presented in this paper. It is shown that as the slenderness ratio decreases the shear and rotary inertia effects increase. Such effects become critical for the accurate estimation of the natural frequencies and modeshapes, especially higher frequencies and modes, as the angular speed increases. It is also shown that the flapwise bending natural frequencies are higher than the chordwise bending natural frequencies. The discrepancy between first natural frequencies are especially significant when the hub radius ratio is small.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2003년도 추계학술대회논문집
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• pp.537-543
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• 2003

Condition monitoring and fault diagnosis of machines are gaining importance in the industry because of the need to increase reliability and to decrease possible loss of production due to machine breakdown. By comparing the vibration signals of a machine running in normal and faulty conditions, detection of faults like mass unbalance, shaft misalignment and bearing defects is possible. This paper presents a novel approach for applying the fault diagnosis of rotating machinery. To detect multiple faults in rotating machinery, a feature selection method and support vector machine (SVM) based multi-class classifier are constructed and used in the faults diagnosis. The results in experiments prove that fault types can be diagnosed by the above method.

• 대한기계학회논문집
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• 제10권5호
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• pp.698-705
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• 1986

본 연구에서는 윤활이론에 따라 명확히 계산되고 그 신빙성이 실험적으로 검 증된 "동압유막 댐퍼"의 감쇠계수를 이용하여 외부댐핑을 갖는 회전축-구름베어링계와 회전축-저어널베어링계의 진동특성을 해석하고저 한다. 또한 해석결과를 토대로 회 전축계의 진동특성에 미치는 특성수 및 설계변수를 명확히 도출하여 동특성을 고려한 회전축계의 최적설계에 기여하고저 한다. 기여하고저 한다.

• 한국자동차공학회논문집
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• 제3권6호
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• pp.262-273
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• 1995

For rotating machinery with high speed and high efficiency, large labor and high expenses are required to conduct machine health monitoring. Therefore, it becomes necessary to develop new diagnosis technique which can detect abnormalities of the rotating machinery effectively. In this paper, it is identified that bispectrum analysis technique can be successfully applied to dectect the abnormalities of the roating machinery through computer simulation, and results of the bispectrum analysis are patterned in griding form. Further, pattern recognition technique using back propagation algorithm, which is one of neural network algorithm, being consisted of patterned input layer and output layer for abnormal status, is applied to detect the abnormalities of simulator which is able to make up various kinds of abnorml conditions(misalignment, unbalance, rubbing etc.) of the rotating machinery.

• 대한기계학회논문집
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• 제10권5호
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• pp.593-600
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• 1986

본 연구에서는 베어링과 같은 기계 회전부품의 정밀진동분석을 위한 구동장치 로서 평판 자기결합기를 갖는 회전장치를 제작하였다. 이 회전장치의 진동특성을 고 찰하기 위해 Weinmann 등의 연구결과에 따라 자기 결합기의 전달 토오크가 그대로 피 동축에 전달됨을 이용하여 이론전개를 하였으며 이 결과를 실험치와 비교하였다.

• 전력전자학회지
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• 제9권4호
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• pp.23-27
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• 2004

전동기는 전기 에너지를 이용하여 회전축에서 기계적 회전력(토크)을 얻는 장치이다. 많은 응용분야에서 평균 토크를 제어하는 것만으로도 충분한 제어 성능을 얻을 수 있지만 로봇. 수치제어선반 등과 같은 정밀 제어 분야의 경우 전동기의 순시 토크를 제어하여 속도 및 위치를 제어하여야 한다.(중략)

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2012년도 추계학술대회 논문집
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• pp.773-776
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• 2012

• 한국기계가공학회지
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• 제21권9호
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• pp.21-27
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• 2022

The rotorcraft engine gearbox transmits the power generated by the turboshaft engine to the rotor by reducing the rotational speed and increasing the torque. The core of the rotorcraft engine gearbox is lightweight performance, which requires maximum weight reduction within the range that meets various requirements and constraints. Therefore, lightweight design through gear macro geometry optimization is necessary. In this study, gear macro geometry optimization was performed to reduce the weight of a rotorcraft engine gearbox. NSGA-III was used for the optimization, resulting in a combination of the gear ratio and macro geometry that minimizes the weight of the total gear. In addition, the safety factor of the gears satisfied the given conditions.

• 월간 기계설비
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• 제9호통권218호
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• pp.88-88
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• 2008

• 한국유체기계학회 논문집
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• 제8권1호
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• pp.67-72
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• 2005