• 한국음향학회지
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• 제10권1호
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• pp.71-82
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• 1991

• 한국음향학회지
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• 제11권3호
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• pp.74-82
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• 1992

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2011년도 춘계학술대회 논문집
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• pp.572-577
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• 2011

The acoustic emission (AE) technique is a well-known non-destructive test technique, both in research and for industrial applications. It is mainly used to monitor the onset of cracking processes in materials and components. Predicting and preventing the crack phenomenon has attracted the attention of many researchers and has continued to provide a large incentive for the use of condition monitoring techniques to detect the earliest stages of cracks. In this research, goal is in grasping features of AE signal caused by crack growth. The envelope analysis with discrete wavelet transform (DWT) is used to find the characteristic of AE signal. To estimate feature of divided into three by crack length, the time waveform and the power spectrum were generated by the raw signals and the transferred signal processed by envelope analysis with DWT.

• 동력기계공학회지
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• 제14권6호
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• pp.41-46
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• 2010

Acoustic emission (AE) technique is a well-known non-destructive test technique. Fatigue crack growth test was performed using SM53C to check up the AE signal occurred by crack growth, so AE system was used to detect the crack signal. Features calculated by the AE signals were analyzed to evaluate the steps divided the crack growth into three. The steps, initiation, growth and breaking, were separated by velocity of the crack growth. Time waveform and power spectrum were created by the AE signal of each one of the steps and compared. In the feature domains, it was found that AE values changed rapidly as the velocity of the crack increasing.

• 한국소음진동공학회논문집
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• 제24권7호
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• pp.555-561
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• 2014

Acoustic Emission technique is widely applied to develop the early fault detection system, and the problem about a signal processing method for AE signal is mainly focused on. In the signal processing method, envelope analysis is a useful method to evaluate the bearing problems and wavelet transform is a powerful method to detect faults occurred on rotating machinery. However, exact method for AE signal is not developed yet for the rotating machinery diagnosis. Therefore, in this paper two methods which are processed by Hilbert transform and DET for feature extraction. In addition, we evaluate the classification performance with varying the parameter from 2 to 15 for feature selection DET, 0.01 to 1.0 for the RBF kernel function of SVR, and the proposed algorithm achieved 94 % classification of averaged accuracy with the parameter of the RBF 0.08, 12 feature selection.

• 한국해양공학회지
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• 제34권4호
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• pp.277-284
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• 2020

Underwater acoustics, which is the study of phenomena related to sound waves in water, has been applied mainly in research on the use of sound navigation and range (SONAR) systems for communication, target detection, investigation of marine resources and environments, and noise measurement and analysis. The main objective of underwater acoustic remote sensing is to obtain information on a target object indirectly by using acoustic data. Presently, various types of machine learning techniques are being widely used to extract information from acoustic data. The machine learning techniques typically used in underwater acoustics and their applications in passive SONAR systems were reviewed in the first two parts of this work (Yang et al., 2020a; Yang et al., 2020b). As a follow-up, this paper reviews machine learning applications in SONAR signal processing with a focus on active target detection and classification.

• 한국음향학회지
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• 제20권5호
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• pp.92-99
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• 2001

1999년 10월에 수행한 한국 동해 중북부 해역의 토모그래피 실험은 저주파수음원을 블라디보스톡 부근의 대륙붕 해역에 위치시켰고 수직선배열 수신기를 울릉도 부근에 고정시켜 원거리 음향 신호의 변화특성을 파악코저하였다. 음원은 위상 변조된 신호이며 울릉도 부근해역의 수직선배열 수신기를 이용하여 자료를 수집하였다. 수신된 자료에 대해 도달시간 및 그 변화를 파악하였다. 이를 위해 위상 변조된 신호를 복조하였으며 특성을 파악하기 위해 도달시간 확산 및 상관성 분석을 수행하였다. 분석결과 단주기성 변화가 존재하고 있으며 이는 내부파에 의한 매질의 수직 변동에 의한 영향이라 할 수 있다.

• 융합신호처리학회논문지
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• 제20권4호
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• pp.177-185
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• 2019

본 논문에서는 수중음향 통신환경에서 다중경로에 의한 심볼간 간섭을 제거하기 위한 방법으로 STBC 전송구조를 결합한 FDE 기법을 제시하고, 그 성능을 평가하였다. 이를 위해 수중통신환경을 고려한 수중음향채널을 모델링하였고, 이 채널에 대한 수중통신 모의시험 결과를 제시하였다. 주파수영역 등화의 경우, 전송블록 양쪽에 훈련신호가 추가되는 구조적 특성상 OFDM 기법에 비해 약 4% 정도의 전송률 저하를 보이나 OFDM에 비해 4.4%에서 16.8%(SNR 9dB기준) 향상된 SER 특성을 보였다.

• 소성∙가공
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• 제18권2호
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• pp.144-149
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• 2009

Recently, the monitoring technology of machining process is very important to improve productivity and quality in manufacturing filed. Such monitoring technology has been performed to measurement using vibration signal, acoustic emission signal and tool dynamometer. However, micro machining is limited small-scale parts machining because micro tool is very small and weakness to generate signal in micro machining process. Therefore, this study has efficient sensing technology for real monitoring system in micro machine that is proposed to supplement a disadvantage of single-sensor by multi sensor. From experimental result, it was evaluated tool wear and cutting situation according to repetitive slot cutting condition and changing cutting condition, and it was performed monitoring spindle rpm and condition according to compare acceleration signal with current signal.

• 한국음향학회지
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• 제21권3호
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• pp.264-273
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• 2002

스테레오 신호간의 상호상관 때문에 일반적인 적응 필터는 수신실의 음향 반향 경로를 정확하게 추정하지 못한다. 본 논문에서는 스테레오 신호의 음질을 크게 저하시키지 않으면서 신호간의 상호상관을 줄여 스테레오 음향 반향 제거기의 성능을 향상시키는 새로운 전처리 방법을 제안한다. 상호 상관을 줄이기 위하여 각 채널 신호로부터 서로 직교하는 두 신호를 구하고 그 절대값을 원신호에 더한다. 각 채널 신호의 전력이 두 채널 신호의 상호상관도보다 크다는 가정을 활용하여 서로 직교하는 신호를 구하기 위한 계산량을 감소시켰다. 시뮬레이션을 통하여 제안하는 전처리 방법을 채용한 스테레오 음향 반향 제거기의 성능이 기존의 방법보다 우수함을 보인다.