• 제목/요약/키워드: Acoustic noise spectrum

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해양목장 대상 어류의 음향순치에 관한 기초적 연구 -1. 돌돔의 청각 특성- (A Basic Study on Acoustic Conditioning of Fish Suitable for a Marine Ranch -1. The Sound Sensitivity of Japanese Parrot Fish Oplegnathus fasciatus-)

  • 김성호;이창헌;서두옥;김용주
    • 한국수산과학회지
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    • 제35권6호
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    • pp.563-567
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    • 2002
  • Developing base data on luring fish schools into netting position by the use of underwater audible sound on japanese parrot fish Oplegnathus fasciatus found in the coastal waters of Jeju Island, S. Korea. Auditory threshold was determined by the heartbeat condition technique using pure tones coupled with a delayed electric shock. The audible range of japanese parrot fish extended from 80 Hz to 500 Hz with a peak sensitivity at 200 Hz. The mean auditory thresholds at the frequencies of 80 Hz, 100 Hz, 200 Hz,300 Hz and 500 Hz were 104 dB, 95 dB, 91 dB, 99 dB and 113 dB, respectively. As the frequency became higher than 200 Hz, the auditory threshold increased almost linearly with increasing frequency. Critical ratios of fishes measured in the presence of masking noise in the spectrum level range of 69$\~$78 dB (0 dB re 1$\mu$Pa/$\sqrt{Hz}$) ranged from 21 dB to 40 dB at test frequencies. The noise spectrum level at the start of masking was about 70 dB within the test frequency range. The sound pressure level of 100$\~$200 Hz recognized by japanese parrot fish under the ambient noise is above 91 dB and the critical ratio for them is above 21 dB.

기계식 인공판막 상태 평가를 위한 컴퓨터 보조진단 시스템 (Computer Aided Diagnosis System for Evaluation of Mechanical Artificial Valve)

  • 이혁수
    • 대한의용생체공학회:의공학회지
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    • 제25권5호
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    • pp.421-430
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    • 2004
  • 임상적으로 의사가 청진기를 이용해 초기 혈전이 생긴 기계식 판막 음향신호의 변화를 구분하기는 쉽지 않다. 기계식 판막의 이상은 환자의 죽음을 의미하기 때문에 기계식 판막의 신뢰성과 초기 혈전 현상을 비관혈적으로 조기 진단하는 방법은 매우 중요하다. 이 논문은 컴퓨터 보조진단 시스템과 음향신호의 주파수 스펙트럼의 이동을 관찰하여 기계식 판막의 혈전 현상을 비관혈적으로 평가하는 것을 목적으로 한다. 혈전 모델은 상용화된 기계식 판막에 폴리우레세인과 실리콘을 이용하여 제작하였다. 판막의 표면에는 폴리우레세인을 코팅하고, 봉합링에는 실리콘을 코팅하였다. 봉합링의 주위에서 혈전이 발생하고, 20%, 40%, 60%로 자라나는 현상은 실리콘을 이용하여 제작하였다. 실험 시스템에서 판막의 음향 신호는 마이크로폰과 증폭기를 사용하여 측정하였고, 마이크로폰에는 주위잡음을 제거하기 위해 커플러를 장착하였다. 측정된 음향신호는 A/D 컨버터를 이용하여 샘플링하고, 스펙트럼을 분석하였다. 정상적인 판막과 혈전이 형성된 판막의 주파수 구분을 위해 인공신경망을 구성하였고, 연속적으로 판막의 운동 주기성을 확인하기 위하여 return map을 사용하였다. 생체 내 실험에서는 기계식 판막을 사용하는 순환장치를 장착한 동물과 기계식 판막을 치환 받은 지 1년 이내와 1년이 넘은 환자에게서 데이터를 채집하였다. 실험에서 얻은 데이터 스펙트럼은 두 가지 형태의 첨두치를 보였고, 이중에서 두 번째 첨두치는 혈전의 모델에 따라 변화를 보였다. 생체 내, 외 실험에서 얻은 데이터를 인공신경망에 적용한 결과 정상 판막과 혈전이 생성된 판막을 구분하였고, 환자를 대상으로 한 실험에서는 10명 중 1명이 두 번째 첨두치가 이동하는 결과를 보였지만 다른 방법으로 확인하지는 못했다. 본 논문의 결과는 기계식 판막의 혈전현상을 비침습적으로 조기 진단하고, 상태를 지속적으로 감시할 수 있는 기술적 토대를 제공할 것이다.

한국어 방언 음성의 실험적 연구 (An Experimental Study of Korean Dialectal Speech)

  • 김현기;최영숙;김덕수
    • 음성과학
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    • 제13권3호
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    • pp.49-65
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    • 2006
  • Recently, several theories on the digital speech signal processing expanded the communication boundary between human beings and machines drastically. The aim of this study is to collect dialectal speech in Korea on a large scale and to establish a digital speech data base in order to provide the data base for further research on the Korean dialectal and the creation of value-added network. 528 informants across the country participated in this study. Acoustic characteristics of vowels and consonants are analyzed by Power spectrum and Spectrogram of CSL. Test words were made on the picture cards and letter cards which contained each vowel and each consonant in the initial position of words. Plot formants were depicted on a vowel chart and transitions of diphthongs were compared according to dialectal speech. Spectral times, VOT, VD, and TD were measured on a Spectrogram for stop consonants, and fricative frequency, intensity, and lateral formants (LF1, LF2, LF3) for fricative consonants. Nasal formants (NF1, NF2, NF3) were analyzed for different nasalities of nasal consonants. The acoustic characteristics of dialectal speech showed that young generation speakers did not show distinction between close-mid /e/ and open-mid$/\epsilon/$. The diphthongs /we/ and /wj/ showed simple vowels or diphthongs depending to dialect speech. The sibilant sound /s/ showed the aspiration preceded to fricative noise. Lateral /l/ realized variant /r/ in Kyungsang dialectal speech. The duration of nasal consonants in Chungchong dialectal speech were the longest among the dialects.

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주파수-파수 스펙트럼과 라돈변환을 이용한 희소 배열 기반 방위추정 기법 연구 (Direction finding based on Radon transform in frequency-wavenumber domain with a sparse array)

  • 최용화;김동현;김재수
    • 한국음향학회지
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    • 제38권2호
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    • pp.168-176
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    • 2019
  • 배열의 설계주파수보다 높은 주파수의 표적신호가 수신되는 경우 공간 에일리어싱에 의해 빔형성에 모호성이 발생한다. 이를 극복하기 위해 Abadi가 차주파수 빔형성 기법을 제안하였다. 하지만 차주파수 빔형성 기법은 차주파수의 값에 따라 최소한의 대역폭이 필요한 제약조건이 있다. 본 논문에서는 주파수-파수 스펙트럼의 특성과 라돈변환을 이용하여 공간 에일리어싱이 발생하는 표적신호의 방위를 추정하는 기법을 제안한다. 제안된 기법은 대역을 가지는 신호의 주파수 대역 내에서 방위추정의 모호성은 발생하지 않고, 표적의 방위를 추정할 수 있다. 하지만 대역을 가지는 신호에만 적용이 가능한 제약조건이 있다. 광대역 신호에 대해 시뮬레이션을 수행하여 알고리즘을 구현하고, 이를 SAVEX15 (Shallow Water Acoustic Variability EXperiment 2015)의 딱총새우 소음신호를 이용하여 차주파수 빔형성 기법의 결과와 비교 검증하였다.

다차원 해석법을 이용한 자동차 공조시스템의 기여도분석 (Coherent Analysis of vehicle HVAC Using the MDSA Method)

  • 오재응;황동건;아미누딘;이정윤;김성수
    • 한국정밀공학회지
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    • 제22권8호
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    • pp.143-150
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    • 2005
  • To verify applicability of multi-dimensional spectral analysis (MDSA) fur noise source identification two different approaches which are frequency response and coherent function have been investigated. The coherence function approach appears able to separate the correlated system when the noise sources were coherent. In this study, we identify contribution of structure-borne-noise of vehicle HVAC system using MDSA method. Firstly, to identify the applicability of MDSA method, 4-inputs of vehicle HVAC system were the signals measured by accelerometers attached on the selected noise sources which were composed of blower, evaporator, heater and duct. While 1-output which was driver's position sound was the SPL signals measured by a remote microphone, when the blower motor was operating. We identify efficiency of systems modeled with four Inputs/single output through ordinary coherence function (OCF) and partial coherence function (PCF). As a result of experiment, the blower accounted for $62-88\%$ of the overall level of sound energy density. Also, according to the analysis of acoustic signal and vibration signals measurement, an investigation of the noise source identification in the vehicle HVAC is presented. With the sound intensity method, the major sources of the vehicle HVAC radiation are verified. Also the method of improving the noise reduction is proposed by attaching damping patch access to blower motor and noise reduction is verified.

Numerical investigation on multi-degree-freedom nonlinear chaotic vibration isolation

  • Jiang, Guoping;Tao, Weijun
    • Structural Engineering and Mechanics
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    • 제51권4호
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    • pp.643-650
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    • 2014
  • A chaotic vibration isolation system is designed according to the chaotic vibration theory in this paper. The strong nonlinearity is generated by the system. Line spectra in the radiated noise maybe easily detected caused by marine vessels. It is Important to reduce the line spectra by improving the acoustic stealth of marine vessels. A multi-degree-freedom (MDF) nonlinear vibration isolation system (NVIS) system is setup by the experiment and finite element method. The model is established with finite element method. The results show that the behavior of the device gradually varies from period bifurcation into chaotic state and the line spectrum is changed from single spectral structure into broadband spectral structure. It is concluded that chaotic vibration isolation is preferable contrasted on line spectra isolation.

다중 패턴 인식 기법을 이용한 DWT 전력 스펙트럼 밀도 기반 기계 고장 진단 기법 (Machine Fault Diagnosis Method based on DWT Power Spectral Density using Multi Patten Recognition)

  • 강경원;이경민;칼렙;권기룡
    • 한국멀티미디어학회논문지
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    • 제22권11호
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    • pp.1233-1241
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    • 2019
  • The goal of the sound-based mechanical fault diagnosis technique is to automatically find abnormal signals in the machine using acoustic emission. Conventional methods of using mathematical models have been found to be inaccurate due to the complexity of industrial mechanical systems and the existence of nonlinear factors such as noise. Therefore, any fault diagnosis issue can be treated as a pattern recognition problem. We propose an automatic fault diagnosis method using discrete wavelet transform and power spectrum density using multi pattern recognition. First, we perform DWT-based filtering analysis for noise cancelling and effective feature extraction. Next, the power spectral density(PSD) is performed on each subband of the DWT in order to effectively extract feature vectors of sound. Finally, each PSD data is extracted with the features of the classifier using multi pattern recognition. The results show that the proposed method can not only be used effectively to detect faults as well as apply to various automatic diagnosis system based on sound.

발전소 대형 입형펌프 전동기의 전류/진동신호 특성 분석 (Current and Vibration Characteristics Analysis of Induction Motors for Vertical Pumps in Power Plant)

  • 배용채;이현;김연환
    • 한국소음진동공학회논문집
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    • 제16권4호
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    • pp.404-413
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    • 2006
  • Induction motors are the workhorse of our industry because of their versatility and robustness. The diagnosis of mechanical load and power transmission system failures is usually carried out through mechanical signals such as vibration signatures, acoustic emissions, motor speed envelope. The motor faults including mechanical rotor imbalances, broken rotor bar, bearing failure and eccentricities problems are reflected in electric, electromagnetic and mechanical quantities. The recent research has been directed toward electrical monitoring of the motor with emphasis on inspecting the stator current of the motor, The stator current spectrum has been widely used for fault detection in induction motor systems. The motor current signature analysis is the useful technique to assess machine electrical condition. This paper describes the motor condition detected by the current signatures Paralleled with vibration signatures analysis of induction motors with the roller bearing and the journal bearing type for large vertical pumps in power plant as examples to discuss for motor fault detection and diagnosis.

Condition Monitoring of Low Speed Slewing Bearings Based on Ensemble Empirical Mode Decomposition Method

  • Caesarendra, W.;Park, J.H.;Choi, B.H.;Kosasih, P.B.
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2012년도 추계학술대회 논문집
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    • pp.388-393
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    • 2012
  • Vibration condition monitoring at low rotational speeds is still a challenge. Acoustic emission (AE) is the most used technique when dealing with low speed bearings. At low rotational speeds, the energy induced from surface contact between raceway and rolling elements is very weak and sometimes buried by interference frequencies. This kind of issue is difficult to solve using vibration monitoring. Therefore some researchers utilize artificial damage on inner race or outer race to simplify the case. This paper presents vibration signal analysis of low speed slewing bearings running at a low rotational speed of 15 rpm. The natural damage data from industrial practice is used. The fault frequencies of bearings are difficult to identify using a power spectrum. Therefore the relatively improved method of empirical mode decomposition (EMD), ensemble EMD (EEMD) is employed. The result is can detect the fault frequencies when the FFT fail to do it.

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저소음 청소기 개발 (Low Noise Vacuum Cleaner Design)

  • 주재만;이준화;홍승기;오장근;송화규
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2007년도 추계학술대회논문집
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    • pp.939-942
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    • 2007
  • Vacuum cleaner is a close life product that can remove various dusts from our surroundings. However well vacuum cleaner clean our environments, many people are looking away from it, due to its loud noise. Its noise causes a big trouble in the usual life, for example, catch calls, TV watching and discussing etc. To reduce these inconveniences, noise reduction methods and systematic design of low noise vacuum cleaner are studied in this paper. At first, sound quality investigation is performed to get the noise level and quality that make people TV watching and catch calls available. Based on the European and domestic customer SQ survey result, sound power, peak noise level and target sound spectrum guideline are studied and introduced. As a second, precise product sound spectrums are designed into each part based on the sound quality result. Fan-motor, brush, mainbody, cyclone spectrums are decided to get the final target sound based on the contribution level. Fan-motor is the major noise source of vacuum cleaner. Specially, its peak sound, RPM peak and BPF Peak, cause the people nervous. To reduce these peak sounds, high rotating impeller and diffuser are focused due to its interaction. A lot of experimental and numerical tests, operation points are investigated and optimization of flow path area between diffusers is performed. As a bagless device, cyclones are one of the major noise sources of vacuum cleaner. To reduce its noise, previous research is used and adopted well. Brush is the most difficult part to reduce noise. Its noise sources are all comes from aero-acoustic phenomena. Numerical analysis helps the understanding of flow structure and pattern, and a lot of experimental test are performed to reduce the noise. Gaps between the carpet and brush are optimized and flow paths are re-designed to lower the noise. Reduction is performed with keeping the cleaning efficiency and handling power together and much reduction of noise is acquired. With all above parts, main-body design is studied. To do a systematic design, configuration design developments technique is introduced from airplane design and evolved with each component design. As a first configuration, fan-motor installation position is investigated and 10 configuration ideas are developed and tested. As a second step, reduced size and compressed configuration candidates are tested and evaluated by a lot of major factor. Noise, power, mass production availability, size, flow path are evaluated together. If noise reduction configuration results in other performance degrade, the noise reduction configuration is ineffective. As a third configuration, cyclones are introduced and the size is reduced one more time and fourth, fifth, sixth, seventh configuration are evolved with size and design image with noise and other performance indexes. Finally we can get a overall much noise level reduction configuration. All above investigations are adopted into vacuum cleaner design and final customer satisfaction tests in Europe are performed. 1st grade sound quality and lowest noise level of bagless vacuum cleaner are achieved.

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