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신준,김흥섭,오재응,Shin, Joon,Kim, Heung-Seob,Oh, Jae-Eung 대한기계학회 1994 대한기계학회논문집 Vol.18 No.9
With the improvement of standard of living, requirement for comfortable and quiet environment has been increased and, therefore, there has been a many researches for active noise reduction to overcome the limit of passive control method. In this study, active noise control is performed in a duct system using intelligent control technique which needs not decide the coefficients of high order filter and the mathematical modeling of a system. Back propagation algorithm is applied as an intelligent control technique and control system is organized to exclude the error microphone and high speed operational device which are indispensable for conventional active noise control techniques. Furthermore, learning is performed by organizing acoustic feedback model, and the effect of the proposed control technique is verified via computer simulation and experiment of active noise control in a duct system.
신준,오재응,Shin, Joon,Oh, Jae-Eung 대한기계학회 1992 대한기계학회논문집 Vol.16 No.10
본 연구에서는 자동차의 발달에 따른 정비 전문가의 상대적인 능력 감퇴를 보 완하고 진단의 정확성을 높일 수 있도록 소음계측에 의한 인공 지능적 뉴로-퍼지 진단 기법을 연구하였다. 이를 위하여 진단결과에 영향을 미치는 많은 작용변수와 다양한 차량상태 등을 고려함으로서 보다 신뢰성 있는 결과를 산출해내기 위한 퍼지(fuzzy) 추론 방식의 판단법을 도입하였으며, 진단이 실패했을 경우나 입력된 데이터가 충분하 지 못할 경우에 시스템 자체의 지식을 확장시켜 나갈 수 있도록 해밍네트(hamming net )에 의한 패턴인식 기법을 적용하였다. 그리고 컴퓨터 시뮬레이션과 자동차를 대상 으로 고장진단 실험을 실시하여 기존의 진단기법과의 비교를 통한 뉴로-퍼지 진단기법 의 효율성과 알고리즘의 타당성을 검증하였다. In the diagnostic process for automobile, Neuro-Fuzzy technique was compared with the conventional diagnostic method for the verification of performance, and proto-type system was developed. For the utilities of the system, 1/3 octave filter(band-pass filter) and A/D converter were used for data acquisition and then data were analyzed using octave band processing and pattern recognition using hamming network algorithm. In order to raise the reliability of the diagnostic results by considering many operating variables and condition of automobile to be diagnosed, fuzzy inference technique was applied in combining several information. The validation of this diagnostic system was examined through computer simulation and experiment, and it showed an acceptable performance for diagnostic process.
오재응(Jae-Eung Oh),신준(Joon Shin),한창수(Chang-Soo Hahn) 대한전자공학회 1992 대한전자공학회 학술대회 Vol.1992 No.10
Diagnostic prototype expert system was developed by analyzing the measured acoustical data of automobile. For the utilities of this system, 1/3 octave filter(band-pass filter) and A/D convener were used for data acquisition and then information was analyzed using signal processing technique and pattern recognition by Hamming network algorithm. In order to raise the reliability of the diagnostic results, fuzzy inference technique was applied and, the results were displayed as graphical method to help the novice in diagnostic field. The validation of this diagnostic system was checked through experiments and it showed an acceptable performance for diagnostic process.
[소음·진동] 흡음재의 음향특성 예측에 의한 밀폐계의 내부 소음저감
오재응(Jae Eung Oh),이기연(Ghiyoun Lee),김우택(Wootaek Kim),신준(Jun Shin) 한국자동차공학회 1999 한국자동차공학회 춘 추계 학술대회 논문집 Vol.1999 No.11_2
For the purpose of finding out the sound field characteristics in a cavity of a rectangular enclosure, analytical and experimental studies are performed with white noise input. Experimental method using two-microphone impedance tube measures the impedances of foamed aluminum. Foamed aluminum is well known metallic porous sound absorption material which has excellent properties of light weight and high absorbing performance. And predicted impedances of foamed aluminum is compared with measured impedance. Predicted acoustical parameters of foamed aluminum are applied to the theoretical analysis for predict sound pressure field in the cavity. The sound absorption effects through measurements are compared with prediction in both cases with and without foamed aluminum lining in the cavity of the rectangular enclosure
동기화한 이산화법을 이용한 능동소음제어의 성능향상에 관한 연구
김흥섭,오재응,신준,Kim, Heung-Seob,Oh, Jae-Eung,Shin, Joon 대한기계학회 1994 대한기계학회논문집 Vol.18 No.10
In this paper, active noise control is performed in a duct system using the periodic pulse train which corresponds to the periodic component of noise source as a reference signal. Control algorithm applied in this study is possible to eliminate the acoustic feedback which occurs in the conventional filtered-x and filtered-u LMS algorithm by using electrical reference signal and has the fast adaptation speed with low filter orders by using synchronous sampling method is discussed via computer simulations and experiments of case studies such as frequency modulation, amplitude modulation and frequency differency between source signal and reference signal.