scholarly journals Aircraft System State Recognition and Fault Prediction Based on a Test Diagnostic Model

2021 ◽  
Vol 1207 (1) ◽  
pp. 012025
Author(s):  
Yan Su ◽  
Hongcai Chen ◽  
Chenxuan Gu ◽  
Xiangyu Xing ◽  
Xuerui Liang
Keyword(s):  
Dynamic Testing ◽  
Complex Function ◽  
Modeling Method ◽  
Fault Prediction ◽  
Diagnostic Model ◽  
Prognostic Information ◽  
Skeleton Model ◽  
State Recognition ◽  
Aircraft Systems ◽  
Aircraft System

Abstract The existing testability models for fault prognosis of aircraft systems limit the implementation of prognosis and health management systems. This paper develops a test diagnosis modeling method and relevant algorithms to support dynamic testing and to evaluate fault prognostic ability during aircraft system design. According to the system principles and the complex function structure of aircraft systems, a test diagnostic model is established by integrating testing and prognostic information with a test diagnostic skeleton model using multi-signal flow. New test indexes are identified to assess the testability and prognostic ability of aircraft systems. Relevant state recognition and fault prediction algorithms are established by fusing the improved particle swarm optimization algorithm and Hidden Semi-Markov Model. The feasibility and validity of the test diagnostic modeling method and relevant algorithms are verified in an aircraft’s engine bleed air system. Training and test show that the model can support analysis and estimation, and the algorithms can ensure accurate results after training the HSMM using improved PSO algorithm.

Coexistence Analysis of Civil Unmanned Aircraft Systems at Low Altitudes

Frequenz ◽  
2016 ◽  
Vol 70 (11-12) ◽  
Author(s):  
Yuzhe Zhou
Keyword(s):  
Unmanned Aircraft ◽  
Unmanned Aircraft Systems ◽  
Rate Model ◽  
System Communication ◽  
Aircraft Systems ◽  
Communication Models ◽  
Ratio Criterion ◽  
Coverage Model ◽  
Aircraft System ◽  
Frequency Distance

AbstractThe requirement of unmanned aircraft systems in civil areas is growing. However, provisioning of flight efficiency and safety of unmanned aircraft has critical requirements on wireless communication spectrum resources. Current researches mainly focus on spectrum availability. In this paper, the unmanned aircraft system communication models, including the coverage model and data rate model, and two coexistence analysis procedures, i. e. the interference and noise ratio criterion and frequency-distance-direction criterion, are proposed to analyze spectrum requirements and interference results of the civil unmanned aircraft systems at low altitudes. In addition, explicit explanations are provided. The proposed coexistence analysis criteria are applied to assess unmanned aircraft systems’ uplink and downlink interference performances and to support corresponding spectrum planning. Numerical results demonstrate that the proposed assessments and analysis procedures satisfy requirements of flexible spectrum accessing and safe coexistence among multiple unmanned aircraft systems.

Design and Experiment of an Aerial Electrostatic Spraying System for Unmanned Agricultural Aircraft Systems

2020 ◽  
Vol 36 (6) ◽  
pp. 955-962
Author(s):  
Shilin Wang ◽  
Xue Li ◽  
Hao Zhou ◽  
Xiaolan Lv ◽  
Weiguo Shen
Keyword(s):  
Droplet Size ◽  
Negative Electrode ◽  
Tree Canopy ◽  
List Type ◽  
Specific Charge ◽  
Chemical Application ◽  
Electrostatic Spraying ◽  
Aircraft Systems ◽  
Aircraft System ◽  
Pump Pressure

HighlightsA bipolar contact electrostatic spraying system is designed for an unmanned agricultural aircraft system.The electrostatic voltage does not affect the droplet size and relative span.The specific charge due to the negative electrode is higher than that due to the positive electrode.The droplets charged by the spraying system are more prone to be deposited on the underside of leaves.Abstract. Chemical application by unmanned agricultural aircraft systems (UAASs) has developed rapidly in China and other Asian countries due to their suitability to complex terrains, high working efficiency, and labor intensity reduction. To enhance spraying performance of unmanned aerial spraying systems (UASSs), an aerial electrostatic spraying system (AESS) was designed consisting of a lithium battery, electrostatic generator, positive and negative charging electrodes, tanks, pumps, and centrifugal atomizers. The AESS electrostatic voltage (EV) was adjusted from 15 to 35 kV, the atomizer rotation speed reached 9600 r/min, and the pump pressure ranged from 0.02 to 0.1 MPa. The AESS specific charge and droplet spectrum under water spraying was measured at different EVs. Results showed that the specific charge due to the negative electrostatic electrode was higher than that due to the positive electrostatic electrode. At a negative electrostatic electrode EV of 35 kV, its specific charge was 1.84 mC/kg. The negative and positive electrostatic electrode volume median diameters (VMDs) ranged from 81.39 to 84.04 µm and 86.8 to 88.80 µm, respectively, and no significant droplet size and relative span differences occurred between the different EVs for the same electrostatic electrode. The AESS was installed on single-rotor and multirotor UAASs for chemical application to pear trees. The results revealed that the electrostatic spray from the AESS has no effect on droplet deposition on the upper side of pear tree canopy leaves, while charged droplets can produce a wrap-around effect on the underside of the leaves, which promotes the adhesion of droplets on the underside of the leaves. The AESS is suitable for chemical application under aerial UAAS spraying. Keywords: Chemical application, Droplet spectrum, Deposition, Specific charge, Unmanned agricultural aircraft system.

Minimizing Human Factors Mishaps in Unmanned Aircraft Systems

2013 ◽  
Vol 21 (1) ◽  
pp. 25-32 ◽  
Author(s):  
Qaisar R. (“Raza”) Waraich ◽  
Thomas A. Mazzuchi ◽  
Shahram Sarkani ◽  
David F. Rico
Keyword(s):  
Human Factors ◽  
General Purpose ◽  
Unmanned Aircraft ◽  
Unmanned Aircraft Systems ◽  
Ground Control ◽  
Aircraft Systems ◽  
Engineering Standards ◽  
General Purpose Computer ◽  
Aircraft System ◽  
Purpose Computer

Unmanned aircraft system (UAS) mishaps attributable to lack of attention to human factors/ergonomics (HF/E) science in their ground control stations (GCSes) are alarmingly high, and UAS-specific HF/E engineering standards are years away from development. The ANSI/HFES 100-2007 human factors standard is proposed as a specification for the design of UASes because of the similarity between general-purpose computer workstations and GCSes. Data were collected from 20 UASes to determine the applicability of commercial standards to GCS designs. Analysis shows that general-purpose computer workstations and UAS GCSes are up to 98% similar. Therefore, our findings suggest that the application of commercial human factors standards may be a good solution for minimizing UAS mishaps.

PROSPECTIVE STRUCTURE AND FUNCTIONING OF THE CENTER FOR UNMANNED AIRCRAFT SYSTEMS OF EMERCOM OF RUSSIA

2021 ◽  
pp. 57-61
Author(s):  
Инесса Николаевна Исавнина ◽  
Юрий Николаевич Осипов ◽  
Владимир Иванович Ершов ◽  
Надежда Германовна Каменских
Keyword(s):  
Unmanned Aircraft ◽  
Unmanned Aircraft Systems ◽  
Unmanned Aircraft System ◽  
Aircraft Systems ◽  
Departmental Level ◽  
Aircraft System ◽  
Operating Units

Развитие системы беспилотной авиации, независимо от ее предназначения и структурной принадлежности, предполагает согласованные усилия заинтересованных лиц (руководства, ученых и конструкторов, специалистов испытательных комплексов, преподавателей, инструкторов теоретического и практического обучения операторов управления летательными аппаратами и их полезными нагрузками) по совершенствованию технических характеристик и функционала беспилотных воздушных судов, а также по формированию соответствующих компетенций у персонала эксплуатирующих подразделений. Очевидным является тот факт, что все перечисленные мероприятия наиболее полно могут быть реализованы в рамках функционирования специальных центров развития беспилотных авиационных систем государственного или ведомственного уровня. The development of unmanned aircraft system, regardless of its purpose and structural affiliation, involves the concerted efforts of stakeholders (management, scientists and designers, specialists of test complexes, tutors, as well as theoretical and practical instructors for operators of aircraft and their payloads control) to improve the technical characteristics and functionality of unmanned aircraft, as well as to create appropriate competencies among the personnel of operating units. It is obvious that all these measures can be fully implemented within the framework of special centers for unmanned aircraft systems of state or departmental level.

Modeling Method of Crawler Crane Based on Open Source Engines

2010 ◽  
Vol 97-101 ◽  
pp. 2832-2835 ◽  
Author(s):  
Di Wu ◽  
Jing Zhang ◽  
Shun De Gao ◽  
Xin Wang
Keyword(s):  
Collision Detection ◽  
Object Oriented ◽  
Modeling Method ◽  
Multiple Model ◽  
Construction Sites ◽  
Skeleton Model ◽  
Model Collision ◽  
Graphics Rendering ◽  
Crawler Crane ◽  
Rendering Engine

Crawler cranes are the most expensive and frequently shared resource on construction sites, industries, etc. According to the characteristics of crawler crane, this paper presents a multiple modeling method of crawler crane based on OGRE (Object-oriented Graphics Rendering Engine) and Bullet Dynamic Engine. The multiple model is composed of rendering model, collision model, skeleton model and dynamic model. Based on this modeling method, not only vivid figuration and motion of the crane but also real-time collision detection and distance computation can be achieved.

scholarly journals Operational Parameters for the Aerial Release of Sterile Codling Moths Using an Uncrewed Aircraft System

Insects ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 159 ◽  
Author(s):  
Evan D. Esch ◽  
Rachael M. Horner ◽  
Dustin C. Krompetz ◽  
Nathan Moses-Gonzales ◽  
Melissa R. Tesche ◽  
...  
Keyword(s):  
Pest Management ◽  
Codling Moth ◽  
Management Program ◽  
Operational Parameters ◽  
Large Area ◽  
Promising Alternative ◽  
Aircraft Systems ◽  
Strong Winds ◽  
Aircraft System ◽  
Wide Swath

The codling moth is a serious pest of apples in most regions of the world where this fruit is produced. The sterile insect technique is one strategy used to control this pest and is employed as part of an area-wide integrated pest management program for the codling moth in British Columbia, Canada. Modified fixed wing aircraft are the most common method for the release of sterile insects in large area-wide pest management programs. However, aerial release with a full-size aircraft can be prohibitively expensive. We evaluated the use of small, uncrewed aircraft systems (UASs) for the release of sterile codling moths. Sterile codling moths released from greater altitudes were more broadly distributed and drifted more in strong winds, compared to those released from lower altitudes. Most of the released insects were recaptured in a 50 m wide swath under the release route. Recapture rates for aerially released insects were 40–70% higher compared to those released from the ground. UASs provide a promising alternative to ground release and conventional aircraft for the release of sterile codling moths.

scholarly journals Determining Antecedent Pasture State for Climate Resilient Grazing in the Pastures of Queensland: An Integrated Remotely Piloted Aircraft System and Satellite Based Deep-Learning Method for Estimating Time-Integrated Measures of Pasture Yield

2021 ◽  
Author(s):  
Jason Barnetson ◽  
Stuart Phinn ◽  
Peter Scarth
Keyword(s):  
Deep Learning ◽  
Satellite Image ◽  
System Structure ◽  
Spatially Explicit ◽  
Resource Base ◽  
Aircraft Systems ◽  
Remotely Piloted Aircraft ◽  
Remotely Piloted Aircraft System ◽  
Aircraft System ◽  
Pasture Yield

The aim of this research is to expand recent developments in the mapping of pasture yield with remotely piloted aircraft systems to that of satellite-borne imagery. Up to date, spatially explicit and accurate information of the pasture resource base is needed for improved climate-adapted livestock rangeland grazing. This study developed deep learning predictive models of pasture yield, as total standing dry matter in tonnes per hectare (TSDM(tha−1)), from field measurements and both remotely piloted aircraft systems and satellite imagery. Repeated remotely piloted aircraft system structure measurements derived from structure from motion photogrammetry, provided measures of pasture biomass from many overlapping high-resolution images. Repeated remotely piloted aircraft system measures throughout a growing season, were modelled with persistent photosynthetic pasture responses from various Planet Dove high spatial resolution satellite image-derived vegetation indices. Pasture height modelling as an input to the modelling of yield was assessed against terrestrial laser scanning and reported correlation coefficients (R2) from 0.3 to 0.8 for both a coastal grassland and inland woodland pasture. Accuracy of the predictive modelling from both the remotely piloted aircraft system and the Planet Dove satellite image estimates of pasture yield ranged from 0.8 to 1.8 TSDM(tha−1). These results indicated that the practical application of repeated remotely piloted aircraft system derived measures of pasture yield can, with some limitations, be scaled-up to satellite-borne imagery to provide more temporally and spatially explicit measures of the pasture resource base.

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