Aviation research, sourced & cited.

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.

Improved LS-SVM Method for Flight Data Fitting of Civil Aircraft Flying at High Plateau

High-plateau flight safety is an important research hotspot in the field of civil aviation transportation safety science. Complete and accurate high-plateau flight data are beneficial for effectively assessing and improv…

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

Safety and security implications of crisis-driven austerity HRM practices in commercial aviation: A structural equation modelling approach

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 effectiveness of risk-based comprehensive safety training planning in the gas pipeline construction industry

Safety training programs play an effective role in reducing diseases and accidents during working. The purpose of this study was comprehensive safety training planning for the gas pipeline construction industry, and inve…

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.

Cockpit voice recorder transcript data: Capturing safety voice and safety listening during historic aviation accidents

Cockpit Voice Recorder (CVR) transcripts capture audio data within cockpit environments. This aids the investigation of causal factors contributing to aviation accidents by revealing communication and other sounds prior …

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-…

The dynamics between voluntary safety reporting and commercial aviation accidents

Calculation and analysis of pollutants during takeoff and landing based on airborne data

This study adopts the calculation method of reducing pollutant emission during flight based on the flight record data from Nantong to Chengdu.

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.

Examining the most accident-prone sector within commercial aviation: Why do accidents with light inland helicopters occur, and how can we improve safety?

Abstract Light inland helicopter has for several years been the most accident-prone sector within commercial aviation, with a more than 10 times higher accident risk than offshore helicopters.

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.

Surgeons Are Not Pilots: Is the Aviation Safety Paradigm Relevant to Modern Surgical Practice?

Error in surgery is common, although not always consequential. Surgical outcomes are often compared to safety data from commercial aviation.

A Novel Application of Head Tracking Data in the Analysis and Assessment of Operational Cervical Spine Range of Motion for Army Aviators.

INTRODUCTION Neck pain among rotary-wing aviators has been established as an important issue in the military community, yet no U.S. Army regulation defines exactly what cervical spine range of motion (CROM) is adequate f…

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.

An exploratory study about the Challenges with Pilot Training and Recruitment in Europe

Pilot training and recruitment is of fundamental importance for the aviation industry. Yet, a number of Commercial Pilot’s License (CPL) applicants trained by Approved Training Organizations (ATOs) fail their airline ass…

Effects of physical fatigue on the induction of mental fatigue of construction workers: A pilot study based on a neurophysiological approach

Within a dynamic and complex working environment, fatigue statuses (involving physical and mental fatigue) of workers on construction sites tend to have a more serious impact on work performance than general workplaces.

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.

Analysis of Thermal Runaway Incidents Involving Lithium Batteries in U.S. Commercial Aviation

Thermal runaway incidents involving lithium batteries as cargo, in luggage, or as personal property in the cabin have been associated with fatalities, the destruction of cargo, and even the loss of entire aircraft.

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.

Environmental Degradation and the Implementation of the Circular Economy in Commercial Aviation

Commercial aviation has made noteworthy contributions to society and the world economy over the past century. As growth in air traffic and the demand for commercial aircraft increase, the industry must grapple with conce…

Dynamic Stability and Trunk Control Improvements Following Robotic Balance and Core Stability Training in Chronic Stroke Survivors: A Pilot Study

Stroke survivors show greater postural oscillations and altered muscular activation compared to healthy controls. This results in difficulties in walking and standing, and in an increased risk of falls.

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.

Association between intracortical microarchitecture and the compressive fatigue life of human bone: A pilot study

Many mechanical properties of cortical bone are largely governed by the underlying microarchitecture; however, the influence of microarchitecture on the fatigue life of bone is poorly understood.

Changes in leg cycling muscle synergies after training augmented by functional electrical stimulation in subacute stroke survivors: a pilot study

Muscle synergies analysis can provide a deep understanding of motor impairment after stroke and of changes after rehabilitation. In this study, the neuro-mechanical analysis of leg cycling was used to longitudinally inve…

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.

EFFECTIVENESS OF ROBOTIC BALANCE TRAINING ON POSTURAL INSTABILITY IN PATIENTS WITH MILD PARKINSON’S DISEASE: A PILOT, SINGLE-BLIND, RANDOMIZED CONTROLLED TRIAL

Objective To examine whether tailored robotic platform training could improve postural stability compared with conventional balance treatment in patients with mild Parkinson’s disease.

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…

Fuel Consumption Model of the Climbing Phase of Departure Aircraft Based on Flight Data Analysis

Accurate estimation of the fuel consumed during aircraft operation is key for determining the fuel load, reducing the airline operating cost, and mitigating environmental impacts.

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 …

Leading article: What has an Airbus A380 Captain got to do with OMFS? Lessons from aviation to improve patient safety.

The understanding of why air accidents occur and all the factors involved with them has been a strong and constantly evolving driver for improving flight safety.

Speech Analysis for Fatigue and Sleepiness Detection of a Pilot.

BACKGROUND: Mental fatigue and sleepiness are well recognized determinants of human-error related accidents and incidents in aviation.