Katrina Groth

Associate Professor

University of Maryland

United States

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Katrina Groth is an Associate Professor at the University of Maryland, USA. Her research focuses on probabilistic deep learning, quantitative risk assessment, and safety methodologies specifically related to hydrogen production and fueling systems. Through her recent publications, she has explored topics such as engineering system reliability, fault analysis of electrolyzers, and the safety assessment of hydrogen fueling stations.

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Collaborators (5)

Ole Ravn

Technical University of Denmark

DENMARK

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Shapour Azarm

University of Maryland

UNITED STATES

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Vincent Paglioni

Assistant Professor

Colorado State University

UNITED STATES

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Xinxin Zhang

Technical University of Denmark

DENMARK

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Morten Lind

Technical University of Denmark

DENMARK

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Katrina Groth

Research Interests

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About

Articles (25)

Probabilistic Deep Learning With Bayesian Networks for Predicting Complex Engineering Systems' Remaining Useful Life: A Case Study of Unmanned Surface Vessel

Fault tree and importance measure analysis of a PEM electrolyzer for hydrogen production at a nuclear power plant

Quantitative risk assessment of a lab-scale hydrogen electrolyzer system

IEA TCP TASK 43 – Recommendations for Safety Distances Methodology for Alkaline and PEM Electrolyzers

Enhancing safety and operation of hydrogen fueling stations: A model-based method for complex failure scenario analysis

A methodology for quantitative risk assessment of a high-capacity hydrogen fueling station with liquid hydrogen storage

Quantitative Risk Assessment of hydrogen releases in a hydrogen fueling station with liquid hydrogen storage

Hydrogen impact on transmission pipeline risk: Probabilistic analysis of failure causes

Creating formative HRA dependency models using the HRA dependency idioms and SACADA data, Part I: Model construction algorithm

Creating formative HRA dependency models using the HRA dependency idioms and SACADA data, Part II: Model quantification

Hazards associated with pressure relief devices in hydrogen systems

Dependency Idioms for Quantitative Human Reliability Analysis

Research gaps in quantitative risk assessment (QRA) of hydrogen transmission pipelines

Hydrogen production via electrolysis: State-of-the-art and research needs in risk and reliability analysis

Comparing the risk of third-party excavation damage between natural gas and hydrogen pipelines

Toward a framework for risk monitoring of complex engineering systems with online operational data: A deep learning-based solution

Design and requirements of a hydrogen component reliability database (HyCReD)

Identifying human failure events (HFEs) for external hazard probabilistic risk assessment

A quantitative risk assessment of hydrogen fuel cell forklifts

Toward a hybrid causal framework for autonomous vehicle safety analysis

Emergency shutdowns of propylene production plants: Root cause analysis and availability modeling

Metrics for evaluating the performance of complex engineering system health monitoring models

Exploiting the Capabilities of Bayesian Networks for Engineering Risk Assessment: Causal Reasoning through Interventions

Critical review and analysis of hydrogen safety data collection tools

BaNTERA: A Bayesian Network for Third-Party Excavation Risk Assessment

Collaborators (5)

Ole Ravn

Shapour Azarm

Vincent Paglioni

Xinxin Zhang

Morten Lind

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