Article

Quantifying the Risk of Accidents and Serious Incidents Due to Maintenance in General Aviation

2025-02-19

Abstract excerpt

In the United States, General Aviation (GA) moves a small volume of passengers, but it accounts for a disproportionate number of accidents and serious incidents. There is concern among GA pilots and owners that an airplane is more likely to fail in the first hours of service following maintenance, e.g., human errors during maintenance and early mortality of newly installed components. However, no prior work has in...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 43080d29-d64f-5fe9-9e6f-997972a9652d
DOI: 10.20944/preprints202502.1463.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Quantifying the Risk of Accidents and Serious Incidents Due to Maintenance in General AviationDOI 10.20944/preprints202502.1463.v1Read

Artificial Intelligence in Flight Safety: Fatigue Monitoring and Risk Mitigation TechnologiesSemantic proximity Read

Human-Centered Decision Support for Flight Dispatch: A Scoping Review of Automation Bias, Workload, Situational Awareness, and AI-Assisted Airline OperationsSemantic proximity Read

Crash Pattern Heterogeneity in Automated Vehicles Across Varying Levels of AutomationSemantic proximity Read

Identifying Edge Cases in Accident Fatalities for Human-Controlled Vehicles via Angle-Based Outlier DetectionSemantic proximity Read

Study on the Configuration Causal Factors of Electric power Generation Safety Incidents Based on Grounded Theory and fsQCASemantic proximity Read

Time‑varying EEG survival modeling predicts aviation crash risk in simulated flightSemantic proximity Read

Excellence in asset management through reliability centered maintenance (RCM)Semantic proximity Read

An automatic data augment method for remaining useful life prediction of aeroenginesSemantic proximity Read

Framework for Next-Generation Predictive Maintenance of Software-Defined Vehicles Using Cloud, Edge Computing and Modern AISemantic proximity Read

AI-Driven Multimodal Ensemble Framework for Accurate Hardware Failure Detection in Optical Embedded Systems: Eliminating Unnecessary RMAsSemantic proximity Read

On COVID-19-safety ranking of seats in intercontinental commercial aircrafts: <i>A preliminary multiphysics computational perspective</i>Semantic proximity Read

A Comparative Data Augmentation-Assisted Diagnostic Framework for Industrial Centrifugal PumpsSemantic proximity Read