• 한국정밀공학회지
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• 제20권3호
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• pp.82-88
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• 2003

The nondestructive internal quality evaluation of agricultural products has been strongly required from the needs for individual inspection. Recently, the ultrasonic wave has been considered as a solution fur this problem, and an ultrasonic system was constructed for the ultrasonic NDE of fruits and vegetables in our previous work. In this paper, the practical applicability of our ultrasonic system is tested fur the inspection of internal defects (central cavity) in Atlantic potato. Sound speed and RMS of transmitted ultrasonic wave signal were measured and classification algorithm using 2 dimensional stochastic analysis. was presented. Experimental results showed greater value of sound speed and RMS (root mean square) of transmitted signal in normal samples than in abnormal samples with cavity. Also a stochastic method to distinguish normal and abnormal showed fault detection rate less than 5%.

• 한국인터넷방송통신학회논문지
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• 제10권6호
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• pp.107-111
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• 2010

차량 주행 중에 타이어에서 발생하는 초음파를 이용하여 손상 물질에 의한 타이어의 손상을 검출하는 방법에 대해 연구하였다. 손상이 있는 타이어는 회전 주기성이 있는 초음파 신호가 발생하므로 주기성을 검출하기 위해 포락선 검출 전처리 과정을 거친 후 자기상관함수를 사용하였다. 실험에서는 손상된 타이어의 1회전 시간과 자기상관함수를 이용해 구한 주기가 같은 것으로 나타났다. 이로 인해 타이어의 손상 유무를 분별할 수 있는 결과를 도출하였다.

• 한국정밀공학회지
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• 제16권7호
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• pp.32-39
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• 1999

Digital signal processor (DSP) is used to obtain the peak value and the time difference of ultrasonic signals, to make digital filter, and to derive mathematical transformation from analog circuit. In this study, C-scan system and control program have been developed to high speed data acquisition. This system consists of signal processing parts (DSP, oscilloscope, pulser/receiver, digitizer), scanner, and control program. The developed system has been applied to a practical ultrasonic testing in overlay weld, and demonstrated high speed with precision

• 대한기계학회:학술대회논문집
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• 대한기계학회 2001년도 춘계학술대회논문집A
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• pp.541-546
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• 2001

Application of bonding by adhesives can be found in many industries, particularly in advanced technological domains such as the aeronautical and space industries, automobile manufacture, and electronics. Periodic inspection with conventional ultrasonic NDE techniques is capable of indicating the presence and possible location of crack. Continuous ultrasonic attenuation monitoring has potential to supply information. This study used adhesive-bonded single-lap joints specimen to evaluate such possibility by ultrasonic signal processing method.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 1995년도 VTS and IBS 95 The Korean Institute of Navigation 1995년도
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• pp.184-192
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• 1995

Although ship's draught information onboard is substantial for both the safety of navigation and the estimation of loaded cargoes its accuracy depends in traditional surveying method on the skillfulness of observers and the condition of the sea surface round the vessel. To obtain more accurate information accessibly measuring instruments with sophisticated sensors such as mechanical electronic and ultrasonic transducers have been developed. however they have still limitation in accuracy and in making up a system due to the complexity of processing signal. In this paper we propose a he technique for analyzing ultrasonic pulse signal in order to improve the measurement accuracy and simplify a remote sensing system of draught by ultrasonic waves. This technique is useful for measuring draught being considered the influence of sea surface fluctuation and for transferring its data briefly to required equipment in integrated bridge system.

• 조명전기설비학회논문지
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• 제18권2호
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• pp.36-43
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• 2004

본 연구에서는 운전중인 직류전동기의 브러시를 임의로 회전하여 브러시와 정류자편에 불꽃을 발생시켰을 때, 초음파센서와 AE센서를 이용하여 각각의 기계적 노이즈 신호를 검출하였으며, 이를 주파수 스펙트럼으로 분석하였다. 또한 직류전동기의 브러시가 중성축에 정상적으로 위치하여 운전하고 있을 때, 초음파센서와 AE센서를 이용하여 각각의 자기적 노이즈 신호를 검출하였으며, 이를 주파수 스펙트럼으로 분석하였다. 그리고 직류전동기의 브러시를 임의로 회전한 경우의 기계적 노이즈 신호 및 브러시가 중성축에 위치한 경우의 자기적 노이즈 신호를 비교ㆍ분석하였다. 실험 결과, 운전중인 직류전동기의 브러시를 회전방향으로 임의로 회전하여 검출한 초음파의 기계적 노이즈 신호는 브러시가 중성축에 정상적으로 위치하여 검출한 초음파의 자기적 노이즈 신호보다 대략 2.5∼3.0배 증가되었다. 또한 운전중인 직류전동기의 브러시를 회전방향으로 임의로 회전하여 불꽃을 발생시켰을 때, AE의 기계적 노이즈 신호를 검출하여 주파수 스펙트럼으로 분석한 결과 주된 주파수 영역이 대략 1.3[MHz]∼l.5[MHz]인 것으로 나타났다

• 한국항공우주학회지
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• 제45권2호
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• pp.124-132
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• 2017

무인기에 대한 관심이 급증하면서 무인기 충돌회피에 대한 많은 연구가 진행 중이다. 충돌회피를 위해서는 무인기 주변에 대한 상황인식이 이루어져야하며 이를 위해 라이더, 영상 카메라, 레이저 센서, 그리고 초음파센서 등이 활용되고 있다. 본 논문에서는 MB 1230 초음파 센서를 이용하여 초음파 센서의 특성을 분석하였다. 또한, 동시에 다수 초음파 센서를 사용할 경우 센서간의 간섭영향으로 정확한 거리 측정값을 획득하지 못함을 확인하였다. 이러한 초음파 센서 신호 간섭을 해결하기 위해 다수의 초음파 센서를 동시에 작동시키는 것이 아니라 초음파 센서의 Enable 신호 입력단을 이용하여 각 초음파 센서를 순차적으로 활성화시킴으로써 초음파 센서간의 간섭을 해결하는 방안을 제안하였으며 실험을 통해 제안한 방안의 효과를 확인하였다.

• 한국조명전기설비학회:학술대회논문집
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• 한국조명전기설비학회 1996년도 추계학술발표회논문집
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• pp.122-124
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• 1996

This paper describes a diagnosis of distribution cable splices by analysis of ultrasonic signals which are generated by partial discharge. A method of ultrasonic signal was used to detect internal defects in distribution cable splices. It is possible that analysis of ultrasonic signal predicts failure by partial discharge generated in distribution cable splices.

• 대한기계학회논문집A
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• 제32권7호
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• pp.583-589
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• 2008

For the purpose of monitoring by ultrasonic test of the ball bearing conditions in rotating machinery, a system for their diagnosis was developed. ultrasonic technique is used to detect abnormal conditions in the bearing system. And various data such as frequency spectrum, energy and amplitude of ultrasonic signals, and ultrasonic parameters were acquired during experiments with the simulated ball bearing system. Based on the above results and practical application for power plant, algorithms and judgement criteria for diagnosis system was established. Bearing diagnosis system is composed of four parts as follows : sensing part for ultrasonic sensor and preamplifier, signal processing part for measuring frequency spectrum, energy and amplitude, interface part for connecting ultrasonic signal to PC using A/D converter, graphic display and software part for display of bearing condition and for managing of diagnosis program.

• 대한전기학회논문지:전력기술부문A
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• 제48권12호
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• pp.1544-1553
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• 1999

Recently, ultrasonic testing techniques have been widely used in the evaluation of the quality of metal. In this experiment, six heat-treated temperature of specimen have been considered : 0, 1200, 1250, 1300, 1350 and 1387$^{\circ}C$. As heat-treated temperature increases, the grain size of stainless steel also increases and then, eventually make it destroy. In this paper, a pattern recognition method is proposed to identify the heat-treated temperature of metals by evidence accumulation based on artificial intelligence with multiple feature parameters; difference absolute mean value(DAMV), variance(VAR), mean frequency(MEANF), auto regressive model coefficient(ARC), linear cepstrum coefficient(LCC) and adaptive cepstrum vector(ACV). The grain signal pattern recognition is carried out through the evidence accumulation procedure using the distances measured with reference parameters. Especially ACV is superior to the other parameters. The results (96% successful pattern classification) are presented to support the feasibility of the suggested approach for ultrasonic grain signal pattern recognition.