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양보석,장우교,김호종 한국소음진동공학회 1996 소음 진동 Vol.6 No.3
One of the greatest shortcoming in today's predictive maintenance program is the ability to diagnose the mechanical and electrical problems within the machine when the vibration exceeds preset overall and spectral alarm levels. In this study, auto-diagnosis system is constructed by using A/D converter to convert analog to digital singal. With this device the system analyses input signal to diagonosis machine condition. Many plots, which display machine condition, and input values of every channel are calculated in this system. If the falut is found, the system diagnoses automatically using fuzzy algorithm and trend monitoring. Prediction is also performed by the grey system theory. Operator finds out eh machine operating condition intuitively based on with personal computer CRT in using this system.
ISG(IDLE STOP & GO) System 적용 BLDC Motor의 설계 및 Lead angle에 따른 분석 결과
염상부(Sang-Bu Yeom),김창화(Chang-Hwa Kim),장우교(Woo-Kyo Jang),김명호(Myung-Ho Kim),도규철(Gyu-Chull Doh),이수진(Su-Jin Lee),홍정표(Sung-Pyo Hong) 한국자동차공학회 2010 한국자동차공학회 부문종합 학술대회 Vol.2010 No.5
This paper presents results of designing ISG motor that is applicable to vehicles and deals with the results of analysis according to the lead angle. Interior Permanent Magnet(IPM) type BLDC motor which has high efficiency and high durability is selected. The Motor characteristics are analyzed by using the FEM(Finite Element Method)
전용두(Yong-Du Jun),박봉현(Bong-Hyun Park),이유종(Yoo-Jong Lee),장우교(Woo-Kyo Jang),이호건(Ho-Gun Lee) 한국자동차공학회 2014 한국자동차공학회 부문종합 학술대회 Vol.2014 No.5
Noise contribution of major participating components to the operating noise from the automotive power seat sliding motion is analyzed based on the measured data. Power seat sliding is initiated by the slide motor and transmitted to flexible shaft and gear mechanism in the lead screw/nut along the slide rail, however, there have been concerns on what is the main source of noise and how much individual components contribute to the overall noise. In the present study, operation noise were measured for three different conditions, that is, for an unloaded motor, unloaded assembled seat and finally for a loaded assembled seat. Then peak frequencies are identified and related with the harmonic components of each characteristics including motor revolution and the related gear ratios already identified. Necessary conversion process from log-scale sound presure level(dB) to physical pressure level is applied to give a quantitative linear contribution to the overall total pressure level. Out of the present analysis results it could be identified that the harmonics of gear characteristics are the dominant contributors to the overall noise level when the power seat is sliding under loaded condition.