• 대한공업교육학회지
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• 제32권2호
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• pp.171-187
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• 2007

이 연구의 목적은 선삭 가공시 발생하는 채터 진동을 계측하기 위하여 일반적인 가속도계가 가진 단점을 보완한 페브리-페롯형(Fabry-Prtot) 광섬유 간섭계 센서를 공구에 직접 부착하여 채터 진동을 측정하고 이것의 유용성을 확인하는 것이다. 측정된 주파수 스펙트럼과 이론해석 상의 리셉턴스 곡선과 비교하였는데 공구진동이 클수록 가진 주파수 이동이 생성되며 이는 공구의 날 끝에 질량효과가 더해짐을 의미함을 알 수 있었다. 질량효과가 더해지면 진동 주파수는 저주파 쪽으로 이동한다. 진동 주파수의 저주파 영역의 이동은 일반적인 재생형 채터에서 흔히 일어나는 현상이다. 또한 측정한 채터 주파수는 고유진동수가 아닌 외부 가진 주파수인 것으로 확인 됐으며 측정 결과와 같이 본 실험에 사용된 광섬유 센서는 외부 진동 주파수를 잘 계측 하였으며 페브리-페롯 센서는 특히 공구진동의 측정에 유용함을 보았다. 본 연구를 통하여 적용분야로 간섭계형 광섬유 센서를 공구 표면에 직접 설치하고 공구 진동을 관찰하는 교육목적의 실험에도 응용할 수 있다. 본 실험과 같은 페브리-페롯 간섭계 센서의 공구 직접 접촉식 방법에 대한 연구는 국내외 적으로 그 사례를 찾아보기 힘든 독창적인 방법인 것으로 추정된다. 본 연구결과는 또한 향후 공구진동과 마멸을 연구하는데 기초 자료로 활용할 수 있을 것으로 판단된다.

• 한국음향학회지
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• 제20권5호
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• pp.21-27
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• 2001

기어 시스템의 충격음과 충격 신호는 대개 기어의 결함과 관련이 있다. 그래서 이러한 충격음과 충격 신호는 기어 시스템의 건전성 감시의 주요 요소로 사용되어진다. 본 연구에서는 이런 충격음과 충격 신호를 효율적으로 추출해 내기 위해 스파이크 웨이블렛 변환을 이용하는 방법을 제안한다. 스파이크 웨이블렛 변환은 기존에 제안된 연속 웨이블렛 변환의 한계점인 임의의 영역에서의 시간-주파수 분해능의 스케일 변수에 대한 선형성을 보완하여 비 선형적으로 이것을 조절할 수 있게 하였다. 이로 인해서 스파이크 웨이블렛 변환은 관심 주파수를 기준으로 연속 웨이블렛 변환보다 고주파 영역에서는 시간 분해능이 향상되고 동시에 저주파 영역에서는 주파수 분해능이 향상되어 기어 결함에 대한 정보 손실 없이 기어의 결함 위치를 보다 명확히 판단할 수 있는 장점을 가진다. 또한 본 연구에서는 상단 절손의 결함을 갖는 기어에 대한 실험을 통해 본 연구에서 제안하는 스파이크 웨이블렛 변환의 유용성을 검증하였다.

• 한국소음진동공학회논문집
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• 제23권9호
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• pp.789-796
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• 2013

Vibration measurements using image processing have been studied by many researchers as it can remotely measure vibration displacements at multiple points simultaneously. It is difficult, however, to obtain accurate displacement from the measured image signals because the resolution of image data is dependent on camera performance and normally lower than that of vibration transducer directly measured. This paper suggests the enhanced technique for vibration displacement measurement by applying the expected value of edge probability distribution to the varying pixel points in the image. The method can both increase the resolution limit of camera image and decrease the measurement errors. The working performance of the proposed technique is verified applying to the vibration measurement of a rotating machine.

• 한국소음진동공학회논문집
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• 제14권10호
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• pp.1035-1040
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• 2004

The vibration of an electric hand grinder originates from the motor, gear, bearing, and fan. Its excessive vibration can be harmful to workers. To reduce the vibration of an electric hand grinder. frequency analysis for the vibration signals of a running electric hand grinder and modal test for the each part were done. The results show that the vibration is due to the resonance of the case. To remove the resonance, the case structure was modified and the bearing cap was replaced on a basis of the results of the rotor dynamic analysis using SAMCEF. As a result, the vibration of the electric hand grinder was reduced greatly.

• 한국소음진동공학회논문집
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• 제11권9호
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• pp.422-430
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• 2001

An electric drill is a handy tool used in a machine shop, which consists of motor, gear, bearing, shaft, and case, i.e., a gear driving system. Low level vibration and noise of the electric drill can bring the assurance of the quality and reliability of the machine. The vibration sources of the electric drill should be investigated for the reduction of the vibration and noise of the system. Through the experiments in laboratory and the various signal processing procedure for the measured vibration and sound signals, the characteristics of the vibration of the electric drill are investigated. And its propagation path is sought using partial coherence function.

• Smart Structures and Systems
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• 제25권2호
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• pp.123-133
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• 2020

Compressive sensing (CS) is a newly developed data acquisition and processing technique that takes advantage of the sparse structure in signals. Normally signals in their primitive space or format are reconstructed from their compressed measurements for further treatments, such as modal analysis for vibration data. This approach causes problems such as leakage, loss of fidelity, etc., and the computation of reconstruction itself is costly as well. Therefore, it is appealing to directly work on the compressed data without prior reconstruction of the original data. In this paper, a direct approach for modal analysis of damped systems is proposed by decomposing the compressed measurements with an appropriate dictionary. The damped free vibration function is adopted to form atoms in the dictionary for the following sparse decomposition. Compared with the normally used Fourier bases, the damped free vibration function spans a space with both the frequency and damping as the control variables. In order to efficiently search the enormous two-dimension dictionary with frequency and damping as variables, a two-step strategy is implemented combined with the Orthogonal Matching Pursuit (OMP) to determine the optimal atom in the dictionary, which greatly reduces the computation of the sparse decomposition. The performance of the proposed method is demonstrated by a numerical and an experimental example, and advantages of the method are revealed by comparison with another such kind method using POD technique.

• 한국소음진동공학회논문집
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• 제25권6호
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• pp.391-398
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• 2015

The swing noise of an excavator is reduced in this study. When an excavator is under a swing motion, it produces the annoying noise which is required to be reduced. To identify the characteristics of the swing noise, the signals of noise and vibration from an excavator are measured during the swing motion. From the variation of the driving motor speed, the noise and vibration signals are picked up and plotted in the waterfall plots. From the waterfall plots, we identify the frequency components corresponding to the driving motor frequency, the gear mesh frequency of the planetary gear, and their harmonics. In addition, the natural frequencies and modes of the center frame are extracted by using the experimental modal test. It is found that the swing noise is amplified when the gear mesh frequencies coincide with the natural frequencies of the center frame. To reduce the swing noise, the structural modification is performed to the center frame. Finally, it is observed that the noise is considerably reduced by the structural modification.

• 한국소음진동공학회논문집
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• 제14권2호
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• pp.119-127
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• 2004

Butterfly valves are popularly used in service in the industrial and water works pipeline systems with large diameter because of its lightweight, simple structure and the rapidity of its manipulation. Sometimes cavitation can occur. resulting in noise, vibration and rapid deterioration of the valve trim, and do not allow further operation. Thus, the monitoring of cavitation is of economic interest and is very importance in industry. This paper proposes a condition monitoring scheme using statistical feature evaluation and support vector machine (SVM) to detect the cavitation conditions of butterfly valve which used as a flow control valve at the pumping stations. The stationary features of vibration signals are extracted from statistical moments. The SVMs are trained, and then classify normal and cavitation conditions of control valves. The SVMs with the reorganized feature vectors can distinguish the class of the untrained and untested data. The classification validity of this method is examined by various signals that are acquired from butterfly valves in the pumping stations and compared the classification success rate with those of self-organizing feature map neural network.

• Structural Engineering and Mechanics
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• 제37권6호
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• pp.593-615
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• 2011

This study determines the water length effects on the modal behavior of a prototype arch dam using Operational and Analytical Modal Analyses. Achievement of this purpose involves construction of a prototype arch dam-reservoir-foundation model under laboratory conditions. In the model, reservoir length was taken to be as much as three times the dam height. To determine the experimental dynamic characteristics of the arch dam using Operational Modal Analysis, ambient vibration tests were implemented for empty reservoir and three different reservoir water lengths. In the ambient vibration tests, the dam was vibrated by natural excitations provided from small impact effects and the response signals were measured using sensitive accelerometers. Operational Modal Analysis software process signals collected from the ambient vibration tests, and Enhanced Frequency Domain Decomposition and Stochastic Subspace Identification techniques estimated modal parameters of the dams. To validate the experimental results, 3D finite element model of the prototype arch dam was modeled by ANSYS software for empty reservoir and three different reservoir water lengths, and dynamic characteristics of each model were determined analytically. At the end of the study, experimentally and analytically identified dynamic characteristics compared to each other. Also, changes on the natural frequencies along to water length are plotted as graphs. Results suggest that reservoir water complicates the modal behavior of the arch dam significantly.

• 한국소음진동공학회논문집
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• 제19권4호
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• pp.386-392
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• 2009

This paper reports on the research which investigates acoustic signals acquired in progressive compressing, hole blanking, shearing and burr compacting process. The work piece is the head pin of the electric connector, whose raw material is the preformed steel bar. An acoustic sensor was set on the bed of hydraulic press. Because the acquired signals include the dynamic characteristics generated for all the processes, it is required to investigate signal characteristics corresponding to unit process. The corresponding dynamic characteristics to the respective process were first studied by analyzing the signals respectively acquired from compressing, blanking and compacting process. The combined signals were then periodically analyzed from the grinding to the grinding in the sound frequency domain and in the ultrasonic wave. The frequency of around 9 kHz in the sound frequency domain was much correlated to the tool wear. The characteristic frequency in the acoustic emission domain between 100 kHz and 500 kHz was not only clearly observed right after tool grinding but its amplitude was also related to the wear. The frequency amplitudes of 160 kHz and 320 kHz were big enough to be classified by the noise. The noise amplitudes are getting bigger, and their energy was much bigger as coming to the next regrinding. The signal analysis was based on the real time data and its frequency spectrum by Fourier Transform. As a result, the acousto-ultrasonic signals were much related to the tool wear progression.