Human reliability for safe and efficient civil infrastructure operation and maintenance–A review
Civil infrastructure systems (CIS) require effective systems-level operation and maintenance
(O&M) processes to ensure safety and efficiency. Such processes demand significant …
(O&M) processes to ensure safety and efficiency. Such processes demand significant …
Uncertainty quantification and reduction in aircraft trajectory prediction using Bayesian-Entropy information fusion
Eliminating accidents while maintaining the integrity of the National Airspace System is one
of the central objectives of the Next Generation Air Transportation System. This paper …
of the central objectives of the Next Generation Air Transportation System. This paper …
Bayesian entropy network for fusion of different types of information
A hybrid method for information fusion combining the maximum entropy (ME) method with
the classical Bayesian network is proposed as the Bayesian-Entropy Network (BEN) in this …
the classical Bayesian network is proposed as the Bayesian-Entropy Network (BEN) in this …
Multiple machine learning modeling on near mid-air collisions: An approach towards probabilistic reasoning
BZ Haselein, JC da Silva, BL Hooey - Reliability Engineering & System …, 2024 - Elsevier
This work presents a mathematical model to predict and explain Near Mid-Air Collisions
(NMACs) based on the NASA Aviation Safety Reporting System (ASRS) database. The …
(NMACs) based on the NASA Aviation Safety Reporting System (ASRS) database. The …
Predictive nuclear power plant outage control through computer vision and data-driven simulation
Field operation and preparation (FO & P) processes in the outages of nuclear power plants
(NPPs) involve tedious team coordination processes. This study proposed a predictive NPP …
(NPPs) involve tedious team coordination processes. This study proposed a predictive NPP …
Modeling and simulating the impact of forgetting and communication errors on delays in civil infrastructure shutdowns
Handoff processes during civil infrastructure operations are transitions between sequential
tasks. Typical handoffs constantly involve cognitive and communication activities among …
tasks. Typical handoffs constantly involve cognitive and communication activities among …
Analysis of operational and mechanical anomalies in scheduled commercial flights using a logarithmic multivariate Gaussian model
This paper presents a machine learning approach to evaluate the performance of aircrafts
using on-board sensor information on commercially scheduled flights with the aim to further …
using on-board sensor information on commercially scheduled flights with the aim to further …
Bayesian-entropy gaussian process for constrained metamodeling
Abstract A novel Bayesian-Entropy Gaussian Process (BEGP) is proposed for constrained
metamodeling. Gaussian Process (GP) regression is a flexible and robust tool for surrogate …
metamodeling. Gaussian Process (GP) regression is a flexible and robust tool for surrogate …
Aircraft trajectory prediction and risk assessment using bayesian updating
The continuous increase in the air traffic volume in the National Airspace System (NAS) not
only put heavy burden on the Air Traffic Controller (ATC), but also increase the number of …
only put heavy burden on the Air Traffic Controller (ATC), but also increase the number of …
A systematic review of pilot-related runway incursions from a human factors perspective
Y Yan, S Boufous, BRC Molesworth - The International Journal of …, 2024 - Taylor & Francis
Objective This study undertook a systematic review of peer-reviewed articles aimed to
investigate how pilot-related causal factors contribute to runway incursions (RIs) …
investigate how pilot-related causal factors contribute to runway incursions (RIs) …