David C. Jensen
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Associate Professor
Also affiliated: Oregon State University (2008–2015); Engineering Systems (United States) (2010); Jensen Hughes (United States) (1994); Applied Research Associates (United States) (1994); Rogers (United States) (2011)
Faculty Researcher
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
David C. Jensen's research focuses on system reliability, mission assurance, and the analysis of failures. His work investigates methods for identifying and propagating functional failures within system designs, including the combined effects of human errors and component failures. Jensen has published research on developing frameworks for agent-network analysis and agent-based resilience analysis, which are domain-agnostic approaches to studying system degradation and recovery. He has also explored the use of genetic algorithms for network optimization and has contributed to datasets for fault scenario analysis in rotary machines. His scholarly contributions include 49 publications, with a total of 466 citations and an h-index of 10. Jensen collaborates with researchers at the University of Arkansas at Fayetteville, including David Jensen, Larry Marshall, and Daniel J. Scott.
Metrics
- h-index: 10
- Publications: 49
- Citations: 468
Selected Publications
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Design files for hand-operated and motorized twisted pair preparation devices (2026)
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Design Files for Hand-Operated and Motorized Twisted Pair Preparation Devices (2026)
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Design Files for Hand-Operated and Motorized Twisted Pair Preparation Devices (2026)
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Agent-Based Resilience Analysis: A Domain-Agnostic Framework for System Degradation and Recovery Analysis (2026)
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Advanced Genetic Algorithm-Based Network Optimization for Mission Assurance (2026)
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A Learning Tool to Support the Development of Engineering Judgment and Decision-Making (2025)
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A Framework for Hybrid Agent-Network Analysis for Mission Assurance (2025)
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Implementation of Network Optimization and Resiliency Analysis Towards Mission Assurance (2024)
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A Survey of Function Failure Identification and Propagation Analysis Methods for System Design (2024)
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Observations of Remote and In-Persons Formats Using Partial Credit and Multiple-Choice Exams (2024)
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Supporting Condition-Based Maintenance for Rotary Systems Under Multiple Fault Scenarios (2023)
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Dataset of single and double faults scenarios using vibration signals from a rotary machine (2023)
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Quantifying the Combined Effects of Human Errors and Component Failures (2021)
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Introducing Likelihood of Occurrence and Expected Cost to Human Error and Functional Failure Reasoning Framework (2020)
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Fault Adaptive Mission Planning: Increasing Useful-Life and Reducing Downtime Through Condition-Based Decision-Making (2020)
Collaboration Network
Top Collaborators
- A Framework for Hybrid Agent-Network Analysis for Mission Assurance
- Advanced Genetic Algorithm-Based Network Optimization for Mission Assurance
- Implementation of Network Optimization and Resiliency Analysis Towards Mission Assurance
- Agent-Based Resilience Analysis: A Domain-Agnostic Framework for System Degradation and Recovery Analysis
- Dataset of single and double faults scenarios using vibration signals from a rotary machine
- Supporting Condition-Based Maintenance for Rotary Systems Under Multiple Fault Scenarios
- Quantifying the Combined Effects of Human Errors and Component Failures
- Quantifying the Combined Effects of Human Errors and Component Failures
- Quantifying the Combined Effects of Human Errors and Component Failures
- Quantifying the Combined Effects of Human Errors and Component Failures
- Supporting Condition-Based Maintenance for Rotary Systems Under Multiple Fault Scenarios
- Observations of Remote and In-Persons Formats Using Partial Credit and Multiple-Choice Exams
- A Survey of Function Failure Identification and Propagation Analysis Methods for System Design
- A Survey of Function Failure Identification and Propagation Analysis Methods for System Design
- A Survey of Function Failure Identification and Propagation Analysis Methods for System Design
- A Survey of Function Failure Identification and Propagation Analysis Methods for System Design
- A Learning Tool to Support the Development of Engineering Judgment and Decision-Making
- A Learning Tool to Support the Development of Engineering Judgment and Decision-Making