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    Hybrid Kalman Filter Approach for Aircraft Engine In-Flight Diagnostics: Sensor Fault Detection Case 

    Source: Journal of Engineering for Gas Turbines and Power:;2007:;volume( 129 ):;issue: 003:;page 746
    Author(s): Takahisa Kobayashi; Donald L. Simon
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper, a diagnostic system based on a uniquely structured Kalman filter is developed for its application to in-flight fault detection of aircraft engine sensors. The Kalman filter is ...
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    Integration of On-Line and Off-Line Diagnostic Algorithms for Aircraft Engine Health Management 

    Source: Journal of Engineering for Gas Turbines and Power:;2007:;volume( 129 ):;issue: 004:;page 986
    Author(s): Takahisa Kobayashi; Donald L. Simon
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper investigates the integration of on-line and off-line diagnostic algorithms for aircraft gas turbine engines. The on-line diagnostic algorithm is designed for in-flight fault detection. ...
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    Evaluation of an Enhanced Bank of Kalman Filters for In-Flight Aircraft Engine Sensor Fault Diagnostics 

    Source: Journal of Engineering for Gas Turbines and Power:;2005:;volume( 127 ):;issue: 003:;page 497
    Author(s): Takahisa Kobayashi; Donald L. Simon
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper, an approach for in-flight fault detection and isolation (FDI) of aircraft engine sensors based on a bank of Kalman filters is developed. This approach utilizes multiple Kalman ...
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