• Title/Summary/Keyword: 패턴 소음

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A Study for Tonal Signal Automatic Classification of Ship-Radiated Noise (선박 방사소음의 Tonal 신호 자동분류에 관한 연구)

  • Lee, Phil-Ho;Park, Kyu-Chil;Yoon, Jong-Rak
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.3
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    • pp.599-607
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    • 2006
  • The ship radiated noise appear the various characteristic signals due to the mechanic system in the ship, the propeller and the interaction between ship body and sea water. Generally, it is classified two main components: the speed dependent signal and the speed independent signal. It is required that very complex procedure to classify the signal origin from the ship-radiated noise. This paper presents techniques to automatically detect and classify the tonal signals ken the ship-radiated noise, using the Q factor and the neural network.

Acoustic characteristics of the BAZOOKA SPEAKER (바주카 스피커의 음향특성)

  • 김준태;최주영
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 1995.04a
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    • pp.202-207
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    • 1995
  • BAZOOKA SPEAKER에 대한 음향특성연구와 중저음 특성강화를 위한 설계인자 변경해석을 위하여 유한요소법과 경계요소법을 사용한 수치해석을 수행하였고, 그 해석결과의 검증과 흡음물성치 산출을 위하여 음향측정실험, 구조물의 동특성실험등을 실시하였다. 연구결과, 내부공간의 음향모드특성, 외부음장에서의 주파수응답특성, 방사패턴, 그리고 음압의 공간 분포특성과 구조물의 동특성을 명확히 규명하였고, 각 음향설계인자 변경에 따른 음향특성을 예측하여 중저음특성강화를 위한 방안을 수립하였다.

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Design and Implementation of Underwater Sound Analysis System for Target Identification (표적 식별을 위한 수중 음향 분석 시스템 설계 및 구현)

  • Yi, TaekJoon;Ryu, KeunHo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2004.05a
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    • pp.629-632
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    • 2004
  • 수중 표적을 식별하기 위해서는 표적이 방사하는 소음의 특징을 미리 알고 있어야 한다. 소음의 특징은 스펙트럼상의 상이한 주파수나 특징적 패턴을 형성하는데 수중에서 표적을 구별하는 주요 성분이다. 이 논문에서는 이런 표적의 고유 식별 정보를 모델링하고 구축하는 수중 음향 분석 시스템을 설계, 구현하였다. 이로써 표적관련 음파 특징 정보를 수치화하고 체계적으로 구축해 정밀분석의 토대를 마련하였다.

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Prediction of Interior Noise Caused by Tire Based on Sound Intensity and Acoustic Source Quantification (공기 기인 소음 분석과 음향 인텐시티법을 이용한 타이어에 의한 실내 소음 예측)

  • Shin, Kwang-Soo;Lee, Sang-Kwon;Hwang, Sung-Uk
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.23 no.4
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    • pp.315-323
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    • 2013
  • Tire noise is divided into a road noise(structure-borne noise) and a pattern noise(air-borne noise). Whilst the road noise is caused by the structural vibration of the components on the transfer path from tire to car body, the pattern noise is generated by the air-pumping between tire and road. In this paper, a practical method to estimate the pattern noise inside a passenger car is proposed. The method is developed based on the sound intensity and airborne source quantification. Sound intensity is used for identifying the noise sources of tire. Airborne source quantification is used for estimating the sound pressure level generated by each noise source of a tire. In order to apply the airborne source quantification to the estimation of the sound pressure, the volume velocity of each source should be obtained. It is obtained by using metrics inverse method. The proposed method is successfully applied to the evaluation of the interior noises generated by four types of tires with different pattern each other.

The Noise Level Assessment of Dental Equipment (치과 의료장비의 소음 수준 평가)

  • Lee, Jeong-Suk;Han, Ye-Seul;Cho, Young-Sik
    • Journal of dental hygiene science
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    • v.15 no.5
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    • pp.603-611
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    • 2015
  • This research is aimed at cutting off hearing loss and other harmful factors due to noise and providing basic material for noise reduction plan. As the research method, this research assessed noise by measuring acoustic pressure level and frequency in various situation of non-treatment and treatment. As the measurement result, average noise degree of high speed handpiece of non-treatment, ultrasonic waves scaler, and low speed handpiece showed 58~66 dB(A). Average noise degree of scaling of treatment, tooth elimination, and denture adjust showed 73~81 dB(A). The result is inferior to recognized standards of noise induced hearing loss. But the result of assessing this with (noise rating) NR curve was NR-73~78, which exceeded general workplace noise standard. This level can cause hearing loss when exposed to a long time. Therefore, treatment office noise during dental treatment can cause psychological and physical damage in dental clinic employees, and it is urgently required to establish systematic and active noise reduction plan.

A study of the Indoor-Impulse Noise Attenuation Effect for the Hearing Protection Devices (청각 보호 장구의 실내 충격소음 차음성능에 관한 연구)

  • Chung, Sung-Hak;Song, Kee-Hyeok
    • Journal of the Korea Society of Computer and Information
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    • v.19 no.5
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    • pp.37-42
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    • 2014
  • The objective of this study is the frequency of the noise source 170 dB level of impulsive sound attenuation performance by earplugs to identify, to analyze the frequency characteristics of a shape and pattern. The attenuation performance of the impulsive noise by the frequency levels on the Combat Arm and 3M Form types 1100 Earplugs were evaluated. In order to check the sound attenuation performance of the B&K head and torso simulator and sound attenuation performance of the ear simulator data was verified. Previous studies have most impact, even in the noise source and the impulse noise level is 140 dB, but this study is higher than that of the impulsive noise source features. The results of the impulse noise attenuation effect is frequency-dependent mean 28.58 dB.

자동차 부품 고장 진단에 관한 연구

  • 오재웅;한창수;이호택;신준;모종운;국두윤
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2001.10a
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    • pp.144-148
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    • 2001
  • 자동차의 발전과 함께 유지 보수를 위한 사용자의 요구는 급증하고 있으나 정비사의 부족으로 인해 경제성 및 신속성 등 이 문제가 되고 있고 이를 해결하기 위해 현재 개발되고 있는 장치들은 대부분 전자 제어 유닛에서 발생시키는 신호를 분석하거나 운전자와의 대화를 통하여 진단하는 방식으로 고장으로 인한 소음이나 진동등 운전자들의 주관적인 평가대상에 대해서는 적절한 해결책으로 제시해 주지 못하고 있다. 그러므로 계측에 의한 소음과 진동 데이터를 이용하여 전문가의 판단을 가지고 고장의 원인을 규명하며 운전자를 위한 오디오적인 표현을 해 줄 수 있는 진단 전문가 시스템이 필요하게 되었다. 본 논문에서는 자동차의 여러 단품중 쇼크 옵서버와 에어컨에 대하여 소음 진동 현상의 정상 및 이상 증상과 신호 계측 방법을 연구하였고 계측된 신호에 대해 패턴 화하여 인공 신경 회로망과 퍼지 추론을 통한 진단을 할 수 있는 알고리즘을 개발하였으며 차후 계속되는 연구에 사용될 정상 및 이상신호에 대한 기본적인 데이터 베이스를 구축하였다.

The Reduction of Tire Pattern Noise Using Time-Frequency Transform (저소음 타이어 설계에 대한 시변주파수 분석 적용)

  • Hwang, S.W.;Bang, M.J.;Kim, S.J.;Cho, C.T.
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2005.11b
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    • pp.144-147
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    • 2005
  • The tire is considered as one of the Important noise sources having an influence on vehicle's performance. The Pattern noise of a tire is the transmission sound of airborne noise. On smooth asphalt road, Pattern noise is amplified with the velocity. In recent, the study on the reduction of Pattern noise is energetically processed. Pattern noise is strongly related with pitch sequence. To reduce the pattern noise, tire's designer has to randomize the sequence of pitch. The FFT is a traditional method to evaluate the level of the randomization of the pitch sequence, but gives no information on time-varying, instantaneous frequency. In the study, we found that Time-Frequency transform is a useful method to non-stationary signal such as tire noise.

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