Autonomous driving system: A comprehensive survey
Automation is increasingly at the forefront of transportation research, with the potential to
bring fully autonomous vehicles to our roads in the coming years. This comprehensive …
bring fully autonomous vehicles to our roads in the coming years. This comprehensive …
Operation and maintenance optimization of offshore wind farms based on digital twin: A review
J Xia, G Zou - Ocean Engineering, 2023 - Elsevier
As one of the most promising clean energy sources, offshore wind farms (OWFs) have
developed rapidly in countries around the world. However, due to complex weather and …
developed rapidly in countries around the world. However, due to complex weather and …
A framework for quantifying the value of vibration-based structural health monitoring
The difficulty in quantifying the benefit of Structural Health Monitoring (SHM) for decision
support is one of the bottlenecks to an extensive adoption of SHM on real-world structures …
support is one of the bottlenecks to an extensive adoption of SHM on real-world structures …
Managing engineering systems with large state and action spaces through deep reinforcement learning
CP Andriotis, KG Papakonstantinou - Reliability Engineering & System …, 2019 - Elsevier
Decision-making for engineering systems management can be efficiently formulated using
Markov Decision Processes (MDPs) or Partially Observable MDPs (POMDPs). Typical …
Markov Decision Processes (MDPs) or Partially Observable MDPs (POMDPs). Typical …
Value of information from vibration-based structural health monitoring extracted via Bayesian model updating
Quantifying the value of the information extracted from a structural health monitoring (SHM)
system is an important step towards convincing decision makers to implement these …
system is an important step towards convincing decision makers to implement these …
Deep reinforcement learning driven inspection and maintenance planning under incomplete information and constraints
CP Andriotis, KG Papakonstantinou - Reliability Engineering & System …, 2021 - Elsevier
Determination of inspection and maintenance policies for minimizing long-term risks and
costs in deteriorating engineering environments constitutes a complex optimization problem …
costs in deteriorating engineering environments constitutes a complex optimization problem …
Risk assessment on deepwater drilling well control based on dynamic Bayesian network
Z Liu, Q Ma, B Cai, Y Liu, C Zheng - Process safety and environmental …, 2021 - Elsevier
Deepwater drilling involves complex operations and equipment, so it is faced with various
operational challenges including well control accidents. This paper proposes a dynamic risk …
operational challenges including well control accidents. This paper proposes a dynamic risk …
Inference and dynamic decision-making for deteriorating systems with probabilistic dependencies through Bayesian networks and deep reinforcement learning
In the context of modern engineering, environmental, and societal concerns, there is an
increasing demand for methods able to identify rational management strategies for civil …
increasing demand for methods able to identify rational management strategies for civil …
A metric for assessing and optimizing data-driven prognostic algorithms for predictive maintenance
Abstract Prognostic Health Management aims to predict the Remaining Useful Life (RUL) of
degrading components/systems utilizing monitoring data. These RUL predictions form the …
degrading components/systems utilizing monitoring data. These RUL predictions form the …
A state-of-the-art review of bridge inspection planning: Current situation and future needs
AM Abdallah, RA Atadero, ME Ozbek - Journal of Bridge …, 2022 - ascelibrary.org
Inspections are important to ensuring adequate safety and performance of a bridge
throughout its service life. Bridge inspections are highly connected with maintenance …
throughout its service life. Bridge inspections are highly connected with maintenance …