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NTIS 바로가기Acta astronautica, v.177, 2020년, pp.714 - 730
Park, Soon-Young (Korea Advanced Institute of Science and Technology (KAIST)) , Ahn, Jaemyung (Korea Advanced Institute of Science and Technology (KAIST))
Abstract We propose a fault detection and diagnosis (FDD) method for liquid-propellant rocket engine tests during startup transient based on deep learning. A numerical model describing the startup transient for the hot-firing test of the rocket engine allows to simulate normal and abnormal situatio...
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