ScienceDirect Publication: Reliability Engineering & System Safety rss.sciencedirect.com

A Generative Modeling Method to Quantify the Long-Term Benefit of Neural-Network-based RUL Predictions to Maintenance

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Availability of Repairable Systems with Extended Virtual Ages

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Assessing similarity requirements for effective transfer learning across a network of rigid frame bridges

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Advanced Framework for Risk Coupling Analysis applied to Ship Groundings in Shenzhen Port

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Incomplete cost-sensitive collaborative learning-based manufacturing quality predictive modeling method under heterogeneous sensing

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A sample-efficient transfer learning framework for industrial remaining useful life prediction leveraging large language models

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A novel AI-driven framework of collaborative intelligent operation and maintenance in cloud-edge computing power networks

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Degradation process modeling and data-driven lifetime prediction for BGA specimen during small sample electromigration test

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Bayesian network model for assessing hydrogen ignition probability

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Probabilistic solution for reducing oil spill contamination risk on port critical infrastructure safety

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An evacuation model considering multi-attribute group decision-making behavior

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Enhancing safety management: A data-driven approach for accident mitigation in a steel industry

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Time-dependent reliability assessment of jack-up platforms under uniform and pitting corrosion

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Dynamic ensemble model incorporating deep reinforcement learning for earthquake casualty prediction

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Human-machine interaction for maritime transport using a data-driven approach

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Degradation process modeling and data-driven lifetime prediction for BGA specimen during small sample electromigration test

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A multi-factor coupling study of pedestrian evacuation under terrorist attacks based on a cellular automaton

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A novel two-stage heterogeneous transfer learning framework for the estimation of the remaining useful life of industrial components

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An extension to the Alpha Factor method for enhanced common cause failure analysis

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Condition-based maintenance planning for K-out-of-N systems under partial observability

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