MATEC Web Conf.
Volume 139, 20172017 3rd International Conference on Mechanical, Electronic and Information Technology Engineering (ICMITE 2017)
|Number of page(s)||6|
|Published online||05 December 2017|
Research for Unmanned Aerial Vehicle components reliability evaluation model considering the influences of human factors
1 Aviation engineering institute, Civil Aviation Flight University Of China, China
2 School of electrical engineering, Southwest Jiaotong University, China
* Corresponding author: email@example.com
Human operating error is one of the important factors affecting the reliable operation of unmanned aerial vehicle (UAV) components, however, people always neglect human-operating-error of the existing unmanned aircraft systems and components reliability assessment methods. This article set the problem to the most important position to search, divided the scene of UAV components assignment to the Status debugging monitoring model and Preventive maintenance type. First, analysis of two scenarios UAV components made qualitative analysis of human error using the method of failure mode and effect analysis; and then put forward the two scenarios of human reliability assessment model, used to quantify the probability of human error. In example analysis, it considers the primary factors those affect humans reliability, to calculate and compare the proportion of human error at different situation. Results show that the proposed method can quantify human error probability, and quantitative characterization of human error can affect the reliability of the UAV components.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.