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    A Novel Model-Based Framework for Power Consumption Prognosis in Multirotors Applied to the Battery End of Discharge Prognostics 

    Source: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2020:;volume( 003 ):;issue: 002
    Author(s): Sierra, Gina; Goebel, Kai
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Accurately estimating the time of battery end of discharge (EOD) in electric unmanned aerial vehicles (UAVs) provides assurance that a given mission can be completed before the energy stored in the battery runs out and ...
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    Degradation Modeling and Remaining Useful Life Prediction of Aircraft Engines Using Ensemble Learning 

    Source: Journal of Engineering for Gas Turbines and Power:;2019:;volume( 141 ):;issue: 004:;page 41008
    Author(s): Li, Zhixiong; Goebel, Kai; Wu, Dazhong
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Degradation modeling and prediction of remaining useful life (RUL) are crucial to prognostics and health management of aircraft engines. While model-based methods have been introduced to predict the RUL of aircraft engines, ...
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    Remaining Useful Life Prediction of Bearings Using Ensemble Learning: The Impact of Diversity in Base Learners and Features 

    Source: Journal of Computing and Information Science in Engineering:;2020:;volume( 021 ):;issue: 002:;page 021004-1
    Author(s): Shi, Junchuan; Yu, Tianyu; Goebel, Kai; Wu, Dazhong
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Prognostics and health management (PHM) of bearings is crucial for reducing the risk of failure and the cost of maintenance for rotating machinery. Model-based prognostic methods develop closed-form mathematical models ...
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    Quantifying the Resilience-Informed Scenario Cost Sum: A Value-Driven Design Approach for Functional Hazard Assessment 

    Source: Journal of Mechanical Design:;2019:;volume( 141 ):;issue: 002:;page 21403
    Author(s): Hulse, Daniel; Hoyle, Christopher; Goebel, Kai; Tumer, Irem Y.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Complex engineered systems can carry risk of high failure consequences, and as a result, resilience—the ability to avoid or quickly recover from faults—is desirable. Ideally, resilience should be designed-in as early in ...
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