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    Adaptive Mission Planning and Analysis for Complex Systems 

    Source: Journal of Computing and Information Science in Engineering:;2017:;volume( 017 ):;issue: 004:;page 41005
    Author(s): DeStefano, Charlie; Jensen, David
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents a new method for complex system failure analysis and adaptive mission planning that provides both an overall failure analysis on a system's performance as well as a mission-based failure analysis. The ...
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    Fault Adaptive Mission Planning: Increasing Useful-Life and Reducing Downtime Through Condition-Based Decision-Making 

    Source: Journal of Computing and Information Science in Engineering:;2020:;volume( 020 ):;issue: 006:;page 061013-1
    Author(s): DeStefano, Charlie; Jensen, David
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents a novel Fault Adaptive Mission Planning (FAMP) framework for complex systems aimed at increasing useful-life and reducing downtime through condition-based decision-making. A hallmark of complex systems ...
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    Exploring Natural Strategies for Bio-Inspired Fault Adaptive Systems Design 

    Source: Journal of Mechanical Design:;2018:;volume( 140 ):;issue: 009:;page 91101
    Author(s): Arroyo, Marvin; Huisman, Nicholas; Jensen, David C.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Fault adaptive design seeks to find the principles and properties that enable robustness, reliability, and resilience to implement those features into engineering products. In nature, this characteristic of adaptability ...
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    Advanced Genetic Algorithm-Based Network Optimization for Mission Assurance 

    Source: Journal of Computing and Information Science in Engineering:;2026:;volume( 026 ):;issue:003:;page 346
    Author(s): Scott, Daniel J.; Jensen, David C.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Abstract. Optimizing network configurations is essential for improving the performance of mission-critical systems. This article presents a genetic algorithm (GA) framework that integrates a constraint-preserving, mutation-only ...
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    Agent-Based Resilience Analysis: A Domain-Agnostic Framework for System Degradation and Recovery Analysis 

    Source: Journal of Computing and Information Science in Engineering:;2026:;volume( 026 ):;issue:009:;page 181
    Author(s): Scott, Daniel J.; Jensen, David C.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Abstract. This article introduces a domain-agnostic simulation framework for evaluating the resilience and robustness of network-based systems subjected to degradation and partial recovery. Built upon a previously developed ...
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    A Survey of Function Failure Identification and Propagation Analysis Methods for System Design 

    Source: Journal of Computing and Information Science in Engineering:;2024:;volume( 024 ):;issue: 009:;page 90801-1
    Author(s): Jensen, David; Van Bossuyt, Douglas L.; Bello, Oladapo; O’Halloran, Bryan M.; Papakonstantinou, Nikolaos
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In the context of model-based product and system design, the capability to assess the impact of potential component faults, undesired interactions, and fault propagation is important for design decision-making. Addressing ...
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