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중력가속도의 변화에 따른 자동운반차량용 서스펜션의 진동모드에 관한 연구
주만식(Man-Sik Joo),김민주(Min-Ju Kim),이승수(Seoung-Su Lee),최영철(Young-Cheol Choi),추정근(Jeong-Chon Chu),김중완(Joong-Whan Kim),전언찬(Eon-Chan Jeon) 동아대학교 해양자원연구소 2000 동아대학교 해양자원연구소 연구논문집 Vol.13 No.-
This study is to choose the most proper model for AGV throughout simulation of behavior of suspension to reduce trial and error because there is no AGV treating heavy weight at harbor loading and unloading at home. Therefore, we estimate the vibration modes of the various suspensions applied to AGV, which is over 75 ton included the weight of two containers using the Matlab in the case of G and 5G, one of the simulation programs.
중력가속도의 변화에 따른 자동운반차량용 서스펜션의 진동모드에 관한 연구
주만식,김민주,이승수,최영철,추정근,김중완,전언찬 동아대학교 해양자원연구소 2000 硏究論文集 Vol.13 No.1
This study is to choose the most proper model for AGV Throughout simulation of behavior of suspension to reduce trial and error because there is no AGV treating heavy weight at harbor loading and unloading at home. Therefore, we estimate the vibration modes of the various suspensions applied to AGV, which is over 75 ton included the weight of two containers using the Matlab in the case of G and 5G, one of the simulation programs.
AGV 용 서스펜션의 진동 모드에 관한연구 : 중력 가속도가 5G인 경우 A Case of Gravity Acceleration is 5G
주만식,김민주,이승수,최영철,추정근,김중완,전언찬 한국공작기계학회 2000 한국공작기계학회 추계학술대회논문집 Vol.2000 No.-
This study is to choose the most proper model for AGV throughout simulation of behavior of suspension to reduce trial and error because there is no AGV treating heavy weight at harbor loading and unloading at home. Therefore, we estimate the vibration modes of the various suspension applied to AGV, which is over 75 ton included the weight of two containers on 5G using the Matlab, one of the simulation programs
공장자동화를 위한 소음 자동검사 시스템의 개발에 관한 연구
이만형,김경천,백인환,이시복,김중완 부산대학교 공과대학 1991 工大論文集 Vol.41 No.-
An automatic noise detection system is developed to sense abnormal noises in operating a microwave electronic range. A noise detection method is presented which accounts for the effects of background and dynamic noises of the range. A recursive formula used as a noise estimator is a special case of the descrete-time Kalman filter in stochastic processes. Noise levels were measured using a noise acquisition processor in a closed room free of background noise, and detected signals were processes using a microcomputer. The results obtained showed that the fault detection system should be fast in response to the data acquired and should be high in accuracy and reliability.