LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "flight data" as a keyword



Nowcasting algorithm for wind fields using ensemble forecasting and aircraft flight data

Sign Up to like & get
recommendations! Published in 2018 at "Meteorological Applications"

DOI: 10.1002/met.1704

Abstract: This study proposes an algorithm that combines ensemble numerical weather-prediction model data and aircraft flight data in a wind nowcasting system for safe and efficient aircraft operation. It uses an ensemble-weighted average method based on… read more here.

Keywords: aircraft; forecast performance; flight data; flight ... See more keywords

Online system identification of mini cropped delta UAVs using flight test methods

Sign Up to like & get
recommendations! Published in 2018 at "Aerospace Science and Technology"

DOI: 10.1016/j.ast.2018.07.008

Abstract: Abstract The current manuscript presents the longitudinal and lateral directional online parameter estimation of two unmanned aerial vehicles (UAVs) using sequential Least Squares formulation in frequency domain. The two fixed wing UAVs share a similar… read more here.

Keywords: system; flight data; cropped delta; flight ... See more keywords

Investigating the impacts of COVID-19 on aviation safety based on occurrences captured through flight data monitoring.

Sign Up to like & get
recommendations! Published in 2022 at "Ergonomics"

DOI: 10.1080/00140139.2022.2155317

Abstract: The COVID-19 pandemic led to growing concerns about pilots' proficiency due to the significant decrease in flight operations. The objective of this research is to provide a proactive approach to mitigate potential risks in flight… read more here.

Keywords: safety; data monitoring; flight data; covid pandemic ... See more keywords
Photo from wikipedia

Proactive flight safety – a feasibility study on optimal use of flight data monitoring and incident reports in an airline

Sign Up to like & get
recommendations! Published in 2021 at "International Journal of Occupational Safety and Ergonomics"

DOI: 10.1080/10803548.2021.1899608

Abstract: Objectives. This study aimed to identify problems with the use of flight data monitoring (FDM) and incident report systems in an airline, present considerations for improvement and suggest a model of how these considerations relate… read more here.

Keywords: use flight; flight; flight safety; flight data ... See more keywords

Aircraft neural modeling and parameter estimation using neural partial differentiation

Sign Up to like & get
recommendations! Published in 2018 at "Aircraft Engineering and Aerospace Technology"

DOI: 10.1108/aeat-02-2016-0021

Abstract: Purpose The purpose of this paper is to build a neural model of an aircraft from flight data and online estimation of the aerodynamic derivatives from established neural model. Design/methodology/approach A neural model capable of… read more here.

Keywords: aircraft; estimation; parameter estimation; flight data ... See more keywords

ADMOST: UAV Flight Data Anomaly Detection and Mitigation via Online Subspace Tracking

Sign Up to like & get
recommendations! Published in 2019 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2018.2863499

Abstract: Since the control laws require sensor feedback to set the current dynamic state of the unmanned aerial vehicle (UAV), incorrect readings may lead to potentially catastrophic conditions. Thus, automated detection and mitigation of UAV flight… read more here.

Keywords: flight data; detection mitigation; anomaly detection; subspace ... See more keywords

Multivariate Regression-Based Fault Detection and Recovery of UAV Flight Data

Sign Up to like & get
recommendations! Published in 2020 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2019.2935576

Abstract: With the wide applications of the unmanned aerial vehicle (UAV), operating safety becomes a critical issue. Thus, fault detection (FD) has been focused, which can realize fault alarm and schedule maintenance in time. Since the… read more here.

Keywords: flight; flight data; uav flight; recovery ... See more keywords

Temporal Convolutional Kolmogorov–Arnold Networks-Based Multivariate Regression for Unmanned Aerial Vehicle Flight Data Anomaly Detection and Recovery

Sign Up to like & get
recommendations! Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2025.3580857

Abstract: With the rapid development and wide application of unmanned aerial vehicles (UAVs), concerns about their safety and reliability are increasing. Anomaly detection of flight data and reasonable recovery of detected anomalies are important for the… read more here.

Keywords: temporal convolutional; anomaly detection; flight; recovery ... See more keywords

Analyzing Measured Evidence for Inducing Factors of SEU From In-Flight Data of NSSC-SPRECMI on OPUS CZ-4C

Sign Up to like & get
recommendations! Published in 2025 at "IEEE Transactions on Nuclear Science"

DOI: 10.1109/tns.2024.3522366

Abstract: This study investigates the dynamics of single-event upsets (SEUs) in space environments as detected by the National Space Science Center (NSSC)’s space particle radiation effect comprehensive measuring instrument (SPRECMI), which comprises linear energy transfer (LET)… read more here.

Keywords: analyzing measured; flight; inducing factors; flight data ... See more keywords

Unmanned Aerial Vehicle Flight Data Anomaly Detection and Recovery Prediction Based on Spatio-Temporal Correlation

Sign Up to like & get
recommendations! Published in 2022 at "IEEE Transactions on Reliability"

DOI: 10.1109/tr.2021.3134369

Abstract: With the development of unmanned aerial vehicle (UAV) technology, a UAV is gradually applied to a variety of civil fields, such as photography, power line inspection, and environmental monitoring. At the same time, the safety… read more here.

Keywords: spatio temporal; correlation; anomaly detection; flight data ... See more keywords

Explaining Anomalous Events in Flight Data of UAV With Deep Attention-Based Multi-Instance Learning

Sign Up to like & get
recommendations! Published in 2024 at "IEEE Transactions on Vehicular Technology"

DOI: 10.1109/tvt.2023.3301678

Abstract: Ensuring the safety and reliability of unmanned aerial vehicles (UAVs) has become a critical issue as they continue to advance. Analyzing anomalous events using event-based explanations is an effective approach to identifying key anomalous behaviors… read more here.

Keywords: instance; attention; flight; events flight ... See more keywords