• Title/Summary/Keyword: Generator Acceleration

Search Result 82, Processing Time 0.015 seconds

Development of Virtual Science Experience Space(VSES) using Haptic Device (역감 제시 장치를 이용한 가상 과학 체험 공간 개발)

  • 김호정;류제하
    • Journal of KIISE:Software and Applications
    • /
    • v.30 no.11
    • /
    • pp.1044-1053
    • /
    • 2003
  • A virtual science experience space(VSES) using virtual reality technology including haptic device is proposed to overcome limits which the existing science education has and to improve the effect of it. Four example scientific worlds such as Micro World, Friction World, Electromechanical World and Macro World are demonstrated by the developed VSES. Van der Waals forces in Micro World and Stick-Slip friction in Friction World, the principle of induction motor and power generator in Electromechanical World and Coriolis acceleration that is brought about by relative motion on the rotating coordinate are modeled mathematically based on physical principles. Emulation methods for haptic interface are suggested. The proposed VSES consists of haptic device, HMD or Crystal Eyes and a digital computer with stereoscopic graphics and GUI. The proposed system is believed to increase the realism and immersion for user.

Development of Fault Diagnostic Algorithm based on Spectrum Analysis of Acceleration Signal for Wind Turbine System (가속도 신호의 주파수 분석에 기반한 풍력발전 고장진단 알고리즘 개발)

  • Ahn, Sung-Ill;Choi, Seong-Jin;Kim, Sung-Ho
    • Journal of the Korean Institute of Intelligent Systems
    • /
    • v.22 no.6
    • /
    • pp.675-680
    • /
    • 2012
  • Wind energy is currently the fastest growing source of renewable energy used for electrical generation around the world. Wind farms are adding a significant amount of electrical generation capacity. The increase in the number of wind farms has led to the need for more effective operation and maintenance. CMS(Condition Monitoring System) can be used to aid plant operator in achieving these goals. Its aim is to provide operators with information regarding th e health of their machine, which in turn, can help them improve operation efficiency. In this work, wind turbine fault diagnostic algorithm which can diagnose the mass unbalance and aerodynamic asymmetry of the blades is proposed. Proposed diagnostic algorithm utilizes both FFT(Fast Feurier Transform) of the signal from accelerometers installed inside of nacelle and simple diagnostic logic. Furthermore, to verify the applicability of the proposed system, 3W small sized wind turbine system is tested and physical experiments are carried out.