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    A Computationally Efficient Methodology for Generating Training Data for a Transient Neural Network of a Tip-Jet Reaction Drive System 

    Source: Journal of Engineering for Gas Turbines and Power:;2011:;volume( 133 ):;issue: 012:;page 121601
    Author(s): Brian K. Kestner; Jimmy C.M. Tai; Dimitri N. Mavris
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents a computationally efficient methodology for generating training data for a transient neural network model of a tip-jet reaction drive system for potential use as an onboard ...
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    Design Methodology for the Performance, Weight, and Economic Assessment of Chemical Rocket Engines 

    Source: Journal of Aerospace Engineering:;2017:;Volume ( 030 ):;issue: 001
    Author(s): Christopher P. Frank; Olivia J. Pinon-Fischer; Dimitri N. Mavris; Clémence M. Tyl
    Publisher: American Society of Civil Engineers
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    A Fault Diagnosis Method for Industrial Gas Turbines Using Bayesian Data Analysis 

    Source: Journal of Engineering for Gas Turbines and Power:;2010:;volume( 132 ):;issue: 004:;page 41602
    Author(s): Young K. Lee; Ming Yuan; Ted Fisher; Dimitri N. Mavris; Vitali V. Volovoi
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents an offline fault diagnosis method for industrial gas turbines in a steady-state. Fault diagnosis plays an important role in the efforts for gas turbine owners to shift from ...
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