Search results for "Astronautics"

showing 9 items of 9 documents

Fatigue Monitoring Tool for Airline Operators (FMT)

2017

Abstract A Fatigue Monitoring Tool (FMT) model was constructed for an operational airline in order to manage the fatigue levels of their crews in accordance with Fatigue Risk Management System (FRMS) practices. This article describes the implementation of the Fatigue Monitoring Tool model and the airline’s aims to put the recent scientific findings on aviation fatigue into practical use. The model consists of proxy points allotted to various duties and rest periods.

050210 logistics & transportationComputer sciencebusiness.industryAviation05 social sciencesTL1-4050050105 experimental psychologyAeronauticsfatigue risk management system (frms)Fatigue Monitoring Tool (FMT); Fatigue Risk Management System (FRMS); fatigue0502 economics and businessfatigue0501 psychology and cognitive sciencesfatigue monitoring tool (fmt)Monitoring toolbusinessRisk managementMotor vehicles. Aeronautics. AstronauticsTransport and Aerospace Engineering
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Aviation Crew Recovery Experiences on Outstations

2016

Abstract ACMI flight crews spend considerable time away from home on outstations. This study suggests that this long term stay carries its own considerations in regards to rest recovery with practical implications for Fatigue Risk Management as prescribed by ICAO. Four recovery experiences, Work Detachment, Control, Relaxation and Mastery, are identified and correlated with 28 crew behaviours on base. The results indicate improvement considerations for airline management organizing a long term contract with ACMI crews, in particular to increase schedule stability to improve the crew member’s sense of Control.

Aviationhealth care facilities manpower and servicesControl (management)educationCrewAeronauticsjob resources0502 economics and businessrecovery experiencesPractical implicationsRisk managementFatigueMotor vehicles. Aeronautics. AstronauticsAviation crew; fatigue; job demands; job resources; recovery experiences050210 logistics & transportationbusiness.industry05 social sciencestechnology industry and agricultureaviation crewTL1-4050Term (time)Schedule (workplace)job demandsWork (electrical)fatiguePsychologybusiness050203 business & managementMarine engineering
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Optimal airline seat inventory control for multi‐leg flights

2004

Airline seat inventory control is about “selling the right seats to the right people at the right time”. In this paper, the problem of determining optimal booking policy for multiple fare classes in a pool of identical seats for multi‐leg flights is considered. During the time prior to departure of a multi‐leg flight, decisions must be made concerning the allocation of reserved seats to passengers requesting space on the full or partial spans of the flight. It will be noted that in the case of multi‐leg flights the long‐haul passengers are often unable to obtain seats because the shorter‐haul passengers block them. For large commercial airlines, efficiently setting and updating seat allocat…

Difficult problemInventory controltransportationEngineeringOperations researchbusiness.industrymodel-based controlAerospace EngineeringTL1-4050Model based controlProfit (economics)Dynamic modelsdatabusinessaircraftoptimizationSimulationMotor vehicles. Aeronautics. AstronauticsAviation
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Approximation of Measurement Results of “Emergency” Signal Reception Probability

2017

Abstract The intended aim of this article is to present approximation results of the exemplary measurements of EMERGENCY signal reception probability. The probability is under-stood as a distance function between the aircraft and a ground-based system under established conditions. The measurements were approximated using the properties of logistic functions. This probability, as a distance function, enables to determine the range of the EMERGENCY signal for a pre-set confidence level.

EMERGENCY signal rangelcsh:Military ScienceComputer sciencelcsh:Motor vehicles. Aeronautics. Astronauticslcsh:Usignal reception probabilityElectronic engineeringGeneral Medicinelcsh:TL1-4050aircraftSignalAviation Advances & Maintenance
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Recent Advances on Mathematical Modeling and Control Methods for Complex Vehicle Systems

2014

1 Department of Engineering, Faculty of Engineering and Science, University of Agder, 4898 Grimstad, Norway 2 College of Automation, Harbin Engineering University, Nantong Street #145, Nangang District, Harbin, China 3 School of Astronautics, Harbin Institute of Technology, P.O. Box 3015, Yikuang Street #2, Nangang District, Harbin, China 4 Laboratory of Modeling, Information & Systems, University of Picardie Jules Verne, Amiens, France

EngineeringAstronauticsAeronauticsArticle Subjectbusiness.industrylcsh:MathematicsApplied MathematicsbusinessChinalcsh:QA1-939Control methodsJournal of Applied Mathematics
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Active Vibration Control in Mechanical Systems

2014

1 School of Astronautics, Harbin Institute of Technology, P.O. Box 3015, Yikuang Street No. 2, Nangang District, Harbin 150001, China 2Department of Engineering, Faculty of Engineering and Science, University of Agder, 4898 Grimstad, Norway 3 Institute of Automation and Complex Systems, University of Duisburg-Essen, 47057 Duisburg, Germany 4Department of Applied Mathematics III, Universitat Politecnica de Catalunya (UPC), 08242 Manresa, Spain

EngineeringAstronauticsArticle Subjectbusiness.industryGeneral Mathematicslcsh:MathematicsGeneral Engineeringlcsh:QA1-939AutomationManufacturing engineeringMechanical systemEngineering (all)lcsh:TA1-2040Active vibration controlMathematics (all)businesslcsh:Engineering (General). Civil engineering (General)Mathematics (all); Engineering (all)Mathematical Problems in Engineering
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Finite-Time Control and Estimation for Complex and Practical Dynamical Systems

2014

1Merchant Marine College, Shanghai Maritime University, Shanghai 201306, China 2Department of Mechanical and Aerospace Engineering, The Ohio State University, Columbus, OH 43202, USA 3Department of Engineering, Faculty of Engineering and Science, University of Agder, 4898 Grimstad, Norway 4School of Automation, Harbin Engineering University, Harbin 150001, China 5Deep Space Exploration Research Center, School of Astronautics, Harbin Institute of Technology, Harbin 150001, China

EstimationAstronauticsArticle SubjectDynamical systems theoryFinite time controlbusiness.industrylcsh:MathematicsApplied MathematicsVDP::Technology: 500::Mechanical engineering: 570Analysis; Applied Mathematicslcsh:QA1-939AutomationSpace explorationSystems engineeringChinabusinessAnalysisResearch centerMathematicsAbstract and Applied Analysis
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Failure Estimates for SiC Power MOSFETs in Space Electronics

2018

Silicon carbide (SiC) power metal-oxide-semiconductor field effect transistors (MOSFETs) are space-ready in terms of typical reliability measures. However, single event burnout (SEB) due to heavy-ion irradiation often occurs at voltages 50% or lower than specified breakdown. Failure rates in space are estimated for burnout of 1200 V devices based on the experimental data for burnout and the expected heavy-ion linear energy transfer (LET) spectrum in space. peerReviewed

Materials sciencesingle-event burnoutlcsh:Motor vehicles. Aeronautics. AstronauticsAerospace EngineeringBurnoutpower MOSFETs01 natural scienceschemistry.chemical_compoundReliability (semiconductor)silicon carbide0103 physical sciencesSilicon carbidePower semiconductor devicePower MOSFETheavy ionsavaruustekniikka010302 applied physicspower devicesreliabilityta114ta213010308 nuclear & particles physicsfailure ratessingle event effectsEngineering physicsPower (physics)säteilyfysiikkachemistrytransistoritField-effect transistorlcsh:TL1-4050VoltageAerospace
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Advanced stochastic control systems with engineering applications

2014

1 School of Astronautics, Harbin Institute of Technology, Harbin, Heilongjiang, China 2 School of Electrical and Electronic Engineering, The University of Adelaide, SA 5005, Australia 3 Department of Engineering, Faculty of Engineering and Science, University of Agder, 4898 Grimstad, Norway 4 Institute of Automation and Complex Systems, University of Duisburg-Essen, Duisburg, Germany 5 College of Automation, Chongqing University, Chongqing 400044, China

Stochastic controlAstronauticsArticle Subjectbusiness.industrylcsh:MathematicsApplied MathematicsVDP::Technology: 500::Mechanical engineering: 570Analysis; Applied Mathematicslcsh:QA1-939AutomationEngineering physicsEngineering managementbusinessAnalysisMathematicsElektrotechnik
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