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1000MW급 초초임계압 화력발전소 주기기에 관한 진동기반 통합 감시시스템 개발
김연환(Yeon-Whan Kim),배용채(Yong_Chae Bae),윤병동(Byeng-D. Youn),김동환(Dong-Hwan Kim),이두영(Doo-Young Lee),손석만(Seok-Man Sohn) 한국소음진동공학회 2015 한국소음진동공학회 학술대회논문집 Vol.2015 No.4
KEPRI will apply the diagnostic monitoring system developed with domestic technology for the integrated monitoring of Korea Type 1000MW-class ultra-supercritical power plant made from high-efficiency power generation technology. The diagnostic monitoring system has been developed through the advanced malfunction diagnosis algorithm processing the data treated as a statistical data-driven method, based on the rotor vibration signals of the rotating equipments such as turbine-generator, boiler feed water pumps, large fans in the power plant. The diagnostic algorithm uses Fisher discriminant analysis machine learning technique. In order to determine the anomaly state-level for the equipments, the diagnostic system uses the specially designed parameters as Anomaly Probability and Anomaly Index. In addition, the 3D visualization technique of structural vibration signals is applied for the large boiler which is one of main equipments.
김연환(Yeon Hwan Kim),안세영(Seyung An),양상식(Sang Sik Yang),이형복(Hyung Bok Lee) 한국자동차공학회 1993 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
In this paper. a pneumatic suspension system is mathematically<br/> modelled. and the parameters of the model are determined by experimental pulse response. A switching controller for roll control is designed wi th a hal f car suspension model. the controller is appl ied to a 7 degree of fredom full car model uner lateral. Time response for damper several damper are obtained by computer.<br/>