• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2003년도 춘계학술대회논문집
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• pp.313-318
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• 2003

The vibration of washing machine at spinning cycle is important problem that affects the performance of a product. In this raper, the inner structure of the washing machine is modeled as a rigid body suspension system and transfer farce caused by rotating unbalance mass is obtained using Newton's the 2nd law. and this model is used to predict the verge of walking instability during the spinning cycle. The walk of the drum washing machine is suggested by calculating the force transmissibility between drum and the cabinet. As calculating the resultant force exerted for cabinet, the friction coefficient of the pad is suggested to avoid the walk. In addition, relation between translational slip and rotational slip is derived and method to avoid the rotational slip is introduced.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2003년도 가을 학술발표회 논문집
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• pp.47-54
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• 2003

The rotating of rotatory unit with its structural unbalance mass and laundry is making the main vibration problem in a vertical axis washing machine. For reducing vibration problem total washing system hung on the case by its suspension system which is constitute of spring, damper and suspension bar and hydraulic balancer is attached at the upper rim of spin basket. In this paper, we make the dynamic model of washing system of its rigid body motions by 6 degree of freedoms. Hydraulic balancer is modeled by one degree of freedom like auto ball balancer. Elastic motions of washing system have found by method of analytic, experimental and FEM. And we consider first bending mode of each suspension bar and first circumferential mode of assy tub. So, the total washing system is modeled by 12 degree of freedoms. Equations of motion for total washing system have derived, and we perform the dynamic simulation tests.

• 대한전기학회논문지:전기기기및에너지변환시스템부문B
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• 제53권6호
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• pp.372-379
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• 2004

Most of the loads in industrial power distribution systems are balanced and connected to three power systems. However, in the user power distribution systems, most of the loads are single ＆ three phase and unbalanced, generating voltage unbalance. Rotating machines operating on an unbalanced voltage will draw a highly unbalanced current. As a result, the three-phase currents may differ considerably, thus resulting in an increased temperature rise in the machine. This paper presents a scheme on steady states of a three-phase induction motor under unbalanced voltages. The three-phase voltages applied to the stator winding of the studied induction motor are controlled by respectively adjusting the magnitude and phase angle of each phase. The voltage unbalanced factor(VUF) of the three-phase source voltages can then be varied to examine the different values of VUF on machine's operation characteristics.

• 한국소음진동공학회논문집
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• 제12권11호
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• pp.897-903
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• 2002

The periodic high vibration has been occurred one or two times a day for a 500 MW large steam turbine during 5 months. This abnormal vibration was caused by the rubbing between the rotor and the carbide accumulated on the seal tooth of oil deflector. It was found that the accumulated carbide was insulation material installed on the HIP casing from the examination of the chemical composition. Also, this paper presents the mechanism of the periodic high vibration and the proper method to eliminate this vibration problem. This result would be good practice to find the solution of similar high vibration in the steam turbines for power plant as well as industrial rotating machineries.

• 한국산학기술학회논문지
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• 제17권7호
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• pp.175-181
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• 2016

회전체는 질량 중심선이 축의 기하학적 중심선과 일치하지 않을 때 불평형이 발생한다. 윤축은 두 개의 차륜과 한 개의 차축으로 조립되어 철도차량을 주행시키는 회전체 역할을 하고, 차륜 재질의 불균일, 마모, 윤축 조립과정의 오차 등으로 인해 불평형이 발생할 수 있다. 또한 윤축은 축의 직경이 가늘고 고속으로 회전함으로 불평형 질량에 의한 진동의 영향이 더욱 두드러지게 나타나고 이로 인해 철도차량 고속 주행 시 주행안전성 및 주행거동에 영향을 미칠 수 있다. 그러므로 본 연구에서는 차륜 불평형이 고속철도차량의 동적 거동에 미치는 영향을 철도차량 다물체 동역학 해석 도구인 VI-Rail를 이용하여 해석을 수행하였다. 해석결과에서 차륜 불평형량이 증가할수록 철도차량 대차의 임계속도가 감소됨을 확인할 수 있었고, 차륜 불평형량이 주행 중 차량동적거동 악영향을 미침으로 고속주행에서는 반드시 차륜 불평형량에 대한 관리가 필요함을 확인할 수 있었다. 또한 이 연구로 차륜 불평형량의 정적 및 동적 관리 필요성을 국내 철도차량 운영기관에 제시하였다.

• 한국항공우주학회지
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• 제36권7호
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• pp.688-694
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• 2008

볼 베어링과 펌프 비접촉 실의 동특성을 고려하여 고추력 액체 로켓 엔진용 터보펌프의 회전체동역학 해석이 수행되었다. 회전 고유진동수와 감쇠비를 예측하기 위하여 회전속도에 따른 복소 고유치 해석이 수행되었다. 동기 회전체 질량 불평형 응답과 시간 과도 응답 해석을 통하여 회전체의 임계속도와 불안정 운전 시작 속도가 확인되었다. 수치 해석 결과로부터 후방 베어링 강성이 임계속도와 불안정성 예측에 있어서 가장 중요한 인자로 확인되었는데, 이는 1차 모드가 터빈부 회전축 굽힘 모드인 것에 기인한다. 임계속도에 있어서 펌프 실의 영향은 후방 베어링 강성이 감소할수록 그리고 전방 베어링 강성이 증가할수록 확대되는 것으로 나타났다.

• The Journal of Korean Physical Therapy
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• 제32권2호
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• pp.101-106
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• 2020

Purpose: This study examined the effects of the directions of neck rotation on the muscle activity of the upper trapezius and lower trapezius while rotating a shoulder externally. Methods: Twenty-five healthy males participated in this study. The subjects were asked to rotate their shoulder externally with 90° shoulder abduction and 90° elbow flexion in three different neck rotations (neutral, ipsilateral, and contralateral) in the prone position. The muscle activities of the upper and lower trapezius were measured using surface electromyography. One way repeated measures ANOVA was used to compare the muscle activity of the upper and lower trapezius depending on the different neck turning directions. Results: In the upper trapezius, turning the neck in the ipsilateral direction while turning a shoulder externally decreased the muscle activity significantly, but the muscle activity was increased significantly by turning the neck in the contralateral direction. On the other hand, in the lower trapezius, turning the neck in the ipsilateral direction increased the muscle activity significantly, but the muscle activity was decreased significantly by turning the neck in the contralateral direction decreased it significantly. Conclusion: When someone has an imbalance of shoulder function, turning the neck in the ipsilateral direction while turning the shoulder externally in the prone position is effective in decreasing the activity of the upper trapezius and increasing the activity of the lower trapezius. Therefore, these results could be used as basic evidence for researching patients with shoulder problems.

• 한국진공학회지
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• 제19권4호
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• pp.256-264
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• 2010

본 논문에서는 고진공용 터보분자펌프의 비접촉 고속회전을 위한 자기베어링 시스템의 디지털 제어시스템의 설계에 대하여 소개하였으며, 실례로 800 l/s급의 고진공 펌프에 대하여 축 유연모드의 후방향 위험속도를 넘는 최대 40,000 rpm까지의 회전실험 결과를 나타내었다. 제안된 제어시스템은 기본적으로 PID 기반의 직접궤환 제어기와 자이로스코픽 모멘트 효과를 제어하기 위한 교차궤환기, 유연모우드 감쇄를 위한 리드필터와 동기진동 저감을 위한 노치필터 등으로 구성되어 있으며, 이러한 제어기는 자기부상형 터보분자펌프 외에 고속 플라이휠과 같은 자기베어링에 적용될 수 있다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2016년도 추계학술대회
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• pp.819-820
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• 2016

수배전분야는 고압 수배전반, 저압 수배전반, 모터 컨트롤 센터(motor control center; MCC)로 구성되며, MCC는 모터의 운전 및 정지를 할 수 있고, 이상상황 발생 시 비상정지 및 이상 상황에 대한 통보를 할 수 있도록 전자식 모터보호계전기(electronic over current relay; EOCR)가 사용되고 있다. 기존 EOCR은 과전류, 부족전류, 결상, 역상, 전류 불평형, 지락과 같은 전기적 결함 탐지는 가능하지만, 구속보호, 모터 고정자 및 회전자, 베어링 결함과 같은 기계적 결함은 탐지가 어렵다. 본 논문에서는 모터의 전기적, 기계적 결함을 탐지하기 위해 기존 EOCR의 전기적 결함 탐지에 기계적 결함 탐지를 결합하여 회전기기 보호장치를 위한 전기적인 결함과 기계적인 결함을 통합적으로 탐지할 수 있는 시스템을 제안한다. 회전기기 결함탐지를 위한 신호입력부 및 제어부, 시스템 인터페이스, 데이터 획득장치를 설계하였으며, 절연저항 측정, 모터 구속 측정 및 제어, MC 카운터 및 베어링 온도 측정 및 제어를 통해 전기적 결함과 기계적 결함 탐지가 가능하였다.

• Smart Structures and Systems
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• 제29권6호
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• pp.757-766
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• 2022

To train deep learning algorithms, a sufficient number of data are required. However, in most engineering systems, the acquisition of fault data is difficult or sometimes not feasible, while normal data are secured. The dearth of data is one of the major challenges to developing deep learning models, and fault diagnosis in particular cannot be made in the absence of fault data. With this context, this paper proposes an anomaly detection methodology for rotating machines using only normal data with self-labeling. Since only normal data are used for anomaly detection, a self-labeling method is used to generate a new labeled dataset. The overall procedure includes the following three steps: (1) transformation of normal data to self-labeled data based on a pretext task, (2) training the convolutional neural networks (CNN), and (3) anomaly detection using defined anomaly score based on the softmax output of the trained CNN. The softmax value of the abnormal sample shows different behavior from the normal softmax values. To verify the proposed method, four case studies were conducted, on the Case Western Reserve University (CWRU) bearing dataset, IEEE PHM 2012 data challenge dataset, PHMAP 2021 data challenge dataset, and laboratory bearing testbed; and the results were compared to those of existing machine learning and deep learning methods. The results showed that the proposed algorithm could detect faults in the bearing testbed and compressor with over 99.7% accuracy. In particular, it was possible to detect not only bearing faults but also structural faults such as unbalance and belt looseness with very high accuracy. Compared with the existing GAN, the autoencoder-based anomaly detection algorithm, the proposed method showed high anomaly detection performance.