scholarly journals Research for Unmanned Aerial Vehicle components reliability evaluation model considering the influences of human factors

2017 ◽  
Vol 139 ◽  
pp. 00221 ◽  
Author(s):  
Yifang Tan ◽  
Ding Feng ◽  
Hanlin Shen
Keyword(s):  
Human Factors ◽  
Unmanned Aerial Vehicle ◽  
Evaluation Model ◽  
Reliability Evaluation ◽  
Aerial Vehicle ◽  
Vehicle Components

Trend Analysis of Unmanned Aerial Vehicles (UAVs) Research Published in the HFES Proceedings

2018 ◽  
Vol 62 (1) ◽  
pp. 1067-1071
Author(s):  
Salim A. Mouloua ◽  
James Ferraro ◽  
Mustapha Mouloua ◽  
P.A. Hancock
Keyword(s):  
Human Factors ◽  
Unmanned Aerial Vehicles ◽  
Unmanned Aerial Vehicle ◽  
Supervisory Control ◽  
Research Trends ◽  
Government Agencies ◽  
The Past ◽  
Human Factors And Ergonomics ◽  
Aerial Vehicles ◽  
Aerial Vehicle

The present study was designed to examine the research trends in the literature focusing on Human Factors issues relevant to Unmanned Aerial Vehicle (UAV) systems. As these UAV technologies continue to proliferate with increasing autonomy and supervisory control requirements, it is crucial to evaluate the current and emerging research trends across the generations. This paper reviews the research trends of 228 papers matching our search criteria. The search retained only relevant and complete papers published over the past thirty years (1988-2017) in the Proceedings of the Human Factors and Ergonomics Society. Results were tabulated, graphed, and discussed based on research categories, topic areas, authors’ affiliation, and sources of funding. Results showed a substantial increase in the number of articles in the last two decades, with most papers driven by academic institutions and military and government agencies.

Fatigue Life of UAV Airframe Based on Damage Coefficient

2013 ◽  
Vol 709 ◽  
pp. 358-362
Author(s):  
Guo Dong Jin ◽  
Li Bin Lu ◽  
Liang Xian Gu ◽  
Juan Liang ◽  
Xiao Fei Zhu
Keyword(s):  
Fatigue Life ◽  
Service Life ◽  
Life Span ◽  
Unmanned Aerial Vehicle ◽  
Evaluation Model ◽  
Economic Values ◽  
Important Constraint ◽  
Damage Coefficient ◽  
The World ◽  
Aerial Vehicle

Because of its advantage of zero casualties, Unmanned Aerial Vehicle (UAV) plays an important role in battlefield monitoring and information acquiring, thus caught great attention of the world. But with large quantities of UAVs equipped, uncertain life-span has become an important constraint of operating UAV safely and economically. So assessing the service life has important military and economic values. In the entire UAV system, the airframe life severely affects operation of UAV. According to method of damage coefficient, evaluation model on life of UAV airframe was established. In the case of security, its fatigue life was determined.

Human Factors and Trainability of Piloting a Simulated Micro Unmanned Aerial Vehicle

2005 ◽  
Vol 49 (23) ◽  
pp. 2055-2059 ◽  
Author(s):  
John L. Neumann ◽  
Paula J. Durlach
Keyword(s):  
Human Factors ◽  
Unmanned Aerial Vehicle ◽  
Military Training ◽  
Touch Screen ◽  
Advanced Technology ◽  
Manual Control ◽  
Training Requirements ◽  
Systems Research ◽  
Camera Angle ◽  
Aerial Vehicle

In 2004, the U.S. Army Research Institute's (ARI) Simulator Systems Research Unit began studies involving the training requirements for operators of a micro-unmanned aerial vehicle (MAV). Our research involved the use of a touch-screen operator control interface developed for the DARPA MAV Advanced Technology Demonstration. This control system allowed operators to plan and run autonomous flight missions or to tele-operate a simulated MAV around a static synthetic environment. An initial study focused primarily on the usability of the system. Extensive heuristic evaluations were conducted by seven volunteers with backgrounds in human factors and military training systems. Each evaluator completed a self-paced training session including exercises that tested their ability to perform various control functions. Lack of immediate feedback from touch-screen inputs and missing or obscure status information formed the basis of several of the usability issues. Manually piloting the MAV presented the most difficulty to operators. As such, a second study was conducted that focused specifically on manual control tasks. In this study, participants were trained on manual control of the MAV, and then completed four increasingly difficult missions, requiring them to pilot the vehicle through the synthetic environment. This experiment was designed to compare the effect of supplemental sensor imagery on mission performance. During Study 1, operators could choose to view a sensor image taken from a fixed camera pointed 15 degrees below horizontal or straight down (90 degrees), but only one view was available at a time. During Study 2, operators were provided with three sensor views simultaneously. The 15-degree view was presented in a primary sensor window, and two additional views were displayed in smaller windows below it. The camera angle of one of these supplemental views was the manipulated independent variable — 30, 60, or 90 degrees from horizontal. The remaining window always contained an overhead satellite view (downward view from 5000 feet above the MAV). Data were collected on time to complete each mission, the number of physical interactions each user made with the interface, SME ratings, workload, and usability. Results indicated that mission requirements had a greater effect on performance and workload ratings than the camera angle of the supplemental view, though the camera angle of the supplemental view did affect mission time required to capture images of designated target buildings. Session averages of workload, usability, mission completion time, and SME rating were significantly inter-correlated. Higher SME ratings were associated with lower participant ratings of workload, shorter mission completion times, and higher usability ratings.

Manpower, Skill and Fatigue Analysis of Future Unmanned Aerial Vehicle (UAV) Environments

2002 ◽  
Vol 46 (23) ◽  
pp. 1905-1909 ◽  
Author(s):  
Brett Walters ◽  
Michael J. Barnes
Keyword(s):  
Human Factors ◽  
Unmanned Aerial Vehicles ◽  
Unmanned Aerial Vehicle ◽  
Simulation Modeling ◽  
Cognitive Skills ◽  
Human Engineering ◽  
Military Operations ◽  
Aerial Vehicles ◽  
Aerial Vehicle ◽  
The U.S

Recent military operations conducted by the U.S. have brought to light several human factors challenges in regard to the control of unmanned aerial vehicles (UAVs). The purpose of this research was to examine the crew environment and soldier performance issues related to future UAV systems. Multiple studies were conducted using a variety of human engineering tools to address UAV crew issues related to: 1) the utility of having rated aviators as crewmembers, 2) supplementing current crews with imagery and intelligence specialists, 3) the use of automation to improve systems efficiency, and 4) the effects of crew size, rotation schedule, and fatigue on crewmember performance. No evidence was found to support a requirement for rated aviators in future Army missions. However, the use of cognitively oriented embedded training simulators was suggested to aid novices in developing the cognitive skills exhibited by experts. The effectiveness of adding imagery specialists to crews is discussed, as well as specific recommendations related to automation and crew size derived from simulation modeling.

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