Aviation research, sourced & cited.

Data-driven flight path monitoring technique using recurrent neural network for the safety management of commercial aircraft

Aviation spins, particularly at low altitudes, significantly contribute to fatalities due to limited recovery time. Standard recovery procedures typically only become eligible after a spin is fully developed, by which ti…

Automated Anomaly Detection and Causal Analysis for Civil Aviation Using QAR Data

Flight Operations Quality Assurance (FOQA) is an internationally recognized solution to ensure the safety of civil aircraft flights based on Quick Access Recorder (QAR) data.

Classification of Operational Records in Aviation Using Deep Learning Approaches

Ensuring safety in the aviation industry is critical, even minor anomalies can lead to severe consequences. This study evaluates the performance of four different models for DP (deep learning), including Bidirectional Lo…

CAST-Eval: A Domain-Specific Benchmark for Large Language Models in Civil Aviation Safety

In this paper, we present CAST-Eval, a novel, comprehensive and domain-specific benchmark designed to assess the knowledge and reasoning capabilities of large language models (LLMs) in the civil aviation domain.

Optimal Charging with Active Thermal Management for eVTOL Aircraft Battery Packs

Electric vertical takeoff and landing (eVTOL) aircraft operation often requires the battery packs to be charged and thermally conditioned to a given range of state-of-charge (SOC) and temperature for the next flight in m…

A Decentralized Voting and Monitoring Flight Control Actuation System for eVTOL Aircraft

The emergence of eVTOL (electrical Vertical Takeoff and Landing) aircraft necessitates the development of safe and efficient systems to meet stringent certification and operational requirements.

Autonomous Navigation for eVTOL: Review and Future Perspectives

This survey paper explores the emergent domain of electric vertical takeoff and landing vehicles (eVTOLs), emphasizing the critical role of autonomous navigation capabilities essential for their effective integration and…

Synthetic Data-Integrated Li-Ion Battery Modeling for eVTOL Energy Systems

Lithium-ion batteries play a crucial role in present-day energy storage systems, necessitating the development of precise prediction models to improve their performance and ensure safety.

Architecture and Algorithm Design for Civil Aviation Data Real-Time Analysis System

Currently, the analysis of civil aviation flight data relies primarily on post-flight data. This involves transmitting onboard data to the servers of the airline and aircraft manufacturer after the aircraft has landed, a…

Unstable Approach Detection and Analysis Based on Energy Management and a Deep Neural Network

The study of managing risk in aviation is the key to improving flight safety. Compared to the other flight operation phases, the approach and landing phases are more critical and dangerous.

Interpretable Tracking and Detection of Unstable Approaches Using Tunnel Gaussian Process

Approach and landing are phases of flight with the highest accident risk. Advanced instruments and procedures have been developed to provide precise navigation for a stabilized approach and landing.

Designing augmented reality for future commercial aviation: a user-requirement analysis with commercial aviation pilots

Augmented reality (AR) capable head-mounted displays (HMDs) have been proposed as technological enablers of several complex future flight concepts, which will bring accompanying pilot situation awareness (SA) and operati…

Analysis of Single-Pilot Intention Modeling in Commercial Aviation

With the continual enhancement of the onboard avionics, the minimum flight crew has been downsized from five to two-person crew mode, and reduced crew operation has drawn extensive attention from aviation experts.

A Data-Driven Integrated Safety Risk Warning Model Based on Deep Learning for Civil Aircraft

With the extensive application of sensor technology, airlines accumulate a lot of flight data during fleet operations. Quick access recorder (QAR) is an important basis for aircraft state estimation and safety assessment…

Minimum-Time Trajectory Generation of eVTOL in Low-Speed Phase: Application in Control Law Design

With the emergence of electric propulsive technologies in the past decades, electric vertical takeoff and landing (eVTOL) aircraft gain increasing interest, which paves the path for advanced air mobility.

Policy Capturing to Support Pilot Decision-Making

Abstract. Single-pilot operations are cognitively challenging for pilots and could benefit from decision-support tools to mitigate risk-prone situations.

Natural Language Processing of Aviation Safety Reports to Identify Inefficient Operational Patterns

With the growth in commercial aviation traffic and the need for improved environmental performance, strategies to lower emissions that can be implemented in the near term are necessary.

CurveCluster+: Curve Clustering for Hard Landing Pattern Recognition and Risk Evaluation Based on Flight Data

Hard landing is a typical flight safety incident, and interpretability plays an important role in flight safety research. However, existing studies failed to provide good interpretability of the reasons for hard landing …

Knowledge Graph - Deep Learning: A Case Study in Question Answering in Aviation Safety Domain

In the commercial aviation domain, there are a large number of documents, like accident reports of NTSB and ASRS, and regulatory directives ADs.

Design of simulation-based pilot training systems using machine learning agents

The high operational cost of aircraft, limited availability of air space, and strict safety regulations make training of fighter pilots increasingly challenging.

Effectiveness of Virtual Reality Simulations for Civilian, Ab Initio Pilot Training

Fatigue detection method for UAV remote pilot based on multi feature fusion

In recent years, UAV industry is developing rapidly and vigorously. However, so far, there is no relevant research on the fatigue detection method for UAV remote pilot, which is the core technology to ensure the flight s…

Automatic speech recognition in noise polluted cockpit environments for monitoring the approach briefing in commercial aviation

The language processing part of the overall system is described, which is a commercially available automatic speech recognition system trained on aviation specific vocabulary and strategies for dealing with cockpit noise…

Evaluation of a Fast Test Based on Biometric Signals to Assess Mental Fatigue at the Workplace—A Pilot Study

Non-pathological mental fatigue is a recurring, but undesirable condition among people in the fields of office work, industry, and education.

Classification and Analysis of Go-Arounds in Commercial Aviation Using ADS-B Data

Go-arounds are a necessary aspect of commercial aviation and are conducted after a landing attempt has been aborted. It is necessary to conduct go-arounds in the safest possible manner, as go-arounds are the most safety-…

Identifying Incident Causal Factors to Improve Aviation Transportation Safety: Proposing a Deep Learning Approach

Aviation is a complicated transportation system, and safety is of paramount importance because aircraft failure often involves casualties. Prevention is clearly the best strategy for aviation transportation safety.

Design, aerodynamic analysis and test flight of a bat-inspired tailless flapping wing unmanned aerial vehicle

Abstract This paper provided a design of bat-inspired tailless flapping wing unmanned aerial vehicle (UAV) based on the biological data of the large flying fox.

Multi-Class Multiple Instance Learning for Predicting Precursors to Aviation Safety Events

In recent years, there has been a rapid growth in the application of machine learning techniques that leverage aviation data collected from commercial airline operations to improve safety.

The effects of Virtual Reality technology application in the aircraft pilot training process

In this study, we focus on some problems related to virtual reality technology usage in supporting the educational process. The main goal is to obtain the optimal duration of exposure to virtual reality without the appea…

Virtual Reality for Pilot Training: Study of Cardiac Activity

: Flight training is provided through real flights with real aircraft and virtual flights using simulators. Nowadays a third alternative way emerges which is the use of immersive virtual reality (VR) flight deck.

Assessment of Fatigue Using Wearable Sensors: A Pilot Study

Background: Fatigue is a broad, multifactorial concept encompassing feelings of reduced physical and mental energy levels. Fatigue strongly impacts patient health-related quality of life across a huge range of conditions…

Large-scale Vibration Monitoring of Aircraft Engines from Operational Data using Self-organized Models

Vibration analysis is an important component of industrial equipment health monitoring. Aircraft engines in particular are complex rotating machines where vibrations, mainly caused by unbalance, misalignment, or damaged …

Towards online prediction of safety-critical landing metrics in aviation using supervised machine learning

Abstract In recent years, due to the increased availability of data and improvements in computing power, application of machine learning techniques to various aviation safety problems for identifying, isolating, and redu…

Conditional Generative Adversarial Networks (CGAN) for Abnormal Vibration of Aero Engine Analysis

The purpose of this paper is to present an evaluation method for abnormal vibration of aero-engine analysis based on flight data through the Conditional Generative Adversarial Networks (CGAN).

Natural Language Processing Based Method for Clustering and Analysis of Aviation Safety Narratives

The complexity of commercial aviation operations has grown substantially in recent years, together with a diversification of techniques for collecting and analyzing flight data.

An evaluation of fatigue factors in maritime pilot work scheduling

ABSTRACT Maritime piloting operations involve on-call work schedules that may lead to sleep loss and circadian misalignment. Our study documented pilot work scheduling practices (n = 61) over a one-year period.

An Assessment of GPS Spoofing Detection Via Radio Power and Signal Quality Monitoring for Aviation Safety Operations

Due to the ever-growing threat of GPS spoofing, it has become necessary for the aviation sector to develop an effective means of detection.

A Supervised Learning Approach for Safety Event Precursor Identification in Commercial Aviation

Critical Parameter Identification for Safety Events in Commercial Aviation Using Machine Learning

In recent years, there has been a rapid growth in the application of data science techniques that leverage aviation data collected from commercial airline operations to improve safety.

Real-time anomaly detection framework using a support vector regression for the safety monitoring of commercial aircraft

Abstract The development of an automated health monitoring framework is critical for aviation system safety, especially considering the expected increase in air traffic over the next decade.

Go-Around Detection Using Crowd-Sourced ADS-B Position Data

The decision of a flight crew to undertake a go-around, aborting a landing attempt, is primarily to ensure the safe conduct of a flight.

Safe limits, mindful organizing and loss of control in commercial aviation

Abstract In commercial aviation, loss of control (LOC) incidents are currently the single biggest cause of accident fatalities. Although LOC incidents typically have multiple causes, inappropriate flight crew responses t…

Grey Correlation Analysis of Hard Landing Based on QAR Data

In this paper, an analysis model is established based on grey theory, and the key flight control parameters of hard landing events are studied by using Quick Access Recorder (QAR) decoded data.

Your Flight Data is on Us!!

The Flight Data Tracker (FDT) developed at SUNY Fredonia is a system for transmitting and saving flight safety data in real-time on the cloud that is otherwise only stored in an aircraft’s Flight Data Recorder (aka FDR o…

Effects of a Mixed Reality-based Cognitive Training System Compared to a Conventional Computer-assisted Cognitive Training System on Mild Cognitive Impairment: A Pilot Study

Background: Mixed reality (MR) technology, which combines the best features of augmented reality and virtual reality, has recently emerged as a promising tool in cognitive rehabilitation therapy.

sEMG-Based Detection of Compensation Caused by Fatigue During Rehabilitation Therapy: A Pilot Study

To stimulate neuroplasticity, the stroke patient often receives repetitive and high load robotic rehabilitation therapy. Given their impaired motor function, the patients are prone to muscle fatigue.

Challenges in Vehicle Safety and Occupant Protection for Autonomous electric Vertical Take-off and Landing (eVTOL) Vehicles

The burgeoning electric Vertical Take-off and Landing (eVTOL) vehicle industry has generated a significant level of enthusiasm amongst aviation designers, manufacturers and researchers.

Enabling Technologies and Platforms to Aid Digitalization of Commercial Aviation Support, Maintenance and Health Management

Due to advancement of electronic hardware and software, big leaps in computational power and resurging of several enabling technologies such as AI, big data and cloud is continue happening.

Temporal topic modeling applied to aviation safety reports: A subject matter expert review

Abstract The aviation safety reporting system database has seen many applications of topic modeling and natural language processing. Its size, metadata, and narratives have made it ideal for demonstrating new models and …

How are laser attacks encountered in commercial aviation? A hazard analysis based on systems theory

Abstract Laser attacks in commercial aviation have become headline news worldwide and the frequency of incidents has increased. A review of the research regarding lasers in commercial aviation shows the need for a system…