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  • 1
    Online-Ressource
    Online-Ressource
    Amsterdam, Netherlands :Elsevier Inc.,
    UID:
    almahu_9949983463402882
    Umfang: 1 online resource (208 pages)
    Ausgabe: 1st ed.
    ISBN: 9780443132827 , 0443132828
    Anmerkung: Front Cover -- High-Reliability Autonomous Management Systems for Spacecraft -- Copyright Page -- Contents -- Preface -- I. Introduction -- 1 Spacecraft self-service management connotation -- 1.1 Autonomous capability of spacecraft -- 1.2 The concept of spacecraft autonomous management -- 1.2.1 The concept of spacecraft autonomous management -- 1.2.2 The level of spacecraft autonomous management -- 1.2.3 Advantages of spacecraft autonomous management -- 1.3 Aspects of autonomous management spacecraft -- 1.3.1 Autonomous health management -- 1.3.2 Autonomous task management -- 1.3.3 Autonomous data management -- 1.4 Core functions of autonomous management of spacecraft -- 1.4.1 The model of spacecraft autonomous management -- 1.4.2 composition of spacecraft autonomous management system -- 1.4.2.1 Independent management -- 1.4.2.2 Design principles of spacecraft autonomous management system -- 1.4.2.3 Composition and function of spacecraft autonomous management system -- References -- 2 Spacecraft systems -- 2.1 Spacecraft concept -- 2.1.1 Classification of spacecraft -- 2.1.1.1 Communication satellites -- 2.1.1.2 Navigation satellites -- 2.1.1.3 Remote sensing satellites -- 2.1.1.4 Scientific exploration and technology test satellite -- 2.1.1.5 Deep space probe -- 2.1.1.6 Manned spacecraft -- 2.1.2 Composition of spacecraft -- 2.2 Basic principles of spacecraft flight -- 2.2.1 The first cosmic velocity -- 2.2.2 The second cosmic velocity -- 2.2.3 The third cosmic velocity -- 2.3 Aerospace engineering systems -- 2.4 Preliminary idea of the plan -- 2.4.1 Preliminary selection of spacecraft mission orbits -- 2.4.2 Preliminary assumption of payload -- 2.4.3 Preliminary assumption of platform subsystem -- 2.4.3.1 Control subsystem scheme requirements and types -- 2.4.3.1.1 Requirements for the control subsystem. , 2.4.3.1.2 Attitude stabilization scheme -- 2.4.3.2 Requirements and types of propulsion subsystem scheme -- 2.4.3.2.1 Requirements for propulsion subsystem -- 2.4.3.2.2 The type of propulsion system -- 2.4.3.3 Types and requirements of power subsystem schemes -- 2.4.3.3.1 Spacecraft power system requirements -- 2.4.3.3.2 Type of spacecraft power supply -- 2.4.3.4 Program requirements and types of measurement, control and data management subsystem -- 2.4.3.4.1 Type of subsystem scheme -- 2.4.3.4.2 Requirements for subsystem -- 2.4.3.5 Type and requirements of thermal control subsystem scheme -- 2.4.3.5.1 Requirements for thermal control subsystem -- 2.4.3.5.2 Common methods of the thermal control subsystem -- References -- II. Spacecraft autonomous health management -- 3 Spacecraft autonomous health management connotation -- 3.1 The connotation of spacecraft health management -- 3.1.1 Spacecraft fault -- 3.1.2 The connotation of spacecraft management -- 3.1.3 Understanding of spacecraft health -- 3.1.4 Definition of spacecraft health management -- 3.1.5 Behavior of spacecraft health management -- 3.2 The concept of spacecraft autonomous health management -- 3.2.1 Definition of spacecraft autonomous health management -- 3.2.2 Stages of spacecraft autonomous health management -- 3.3 Functions of spacecraft autonomous health management -- 3.4 Unique functions of autonomous health management of manned spacecraft -- 3.5 Basic principles of spacecraft autonomous management system design -- 3.6 Traditional spacecraft health management technology -- 3.6.1 Anomaly detection based on manual monitoring and thresholds -- 3.6.2 Model-based fault diagnosis -- 3.6.3 Fault diagnosis based on data analysis -- 3.6.4 Fault prediction and health assessment -- 3.6.5 Comparative analysis of advantages and disadvantages of health management technology -- References. , 4 Applications of autonomous spacecraft health management -- 4.1 Space shuttle -- 4.1.1 Flight mission -- 4.1.2 Ground test -- 4.2 Autonomous health management system of Deep Space 1 probe -- 4.2.1 Autonomous health management system -- 4.2.1.1 Pattern recognition module -- 4.2.1.2 Pattern reconstruction (Mr) -- 4.2.1.3 Livingstone working principle of the system -- 4.2.2 Features of Deep Space 1 autonomous health management system -- 4.3 Earth observation-1 -- 4.3.1 Flying mission -- 4.3.2 ASE test -- 4.3.2.1 Avionics system -- 4.3.2.2 Software architecture -- 4.4 X-33 -- 4.4.1 Flight mission -- 4.4.2 Vehicle health management system -- 4.5 X-34 -- 4.5.1 Flight mission -- 4.5.2 Propulsion system health management technology experiment -- 4.5.2.1 The diagnosis system -- 4.5.2.2 The range of application -- 4.6 X-37 -- 4.6.1 Flight mission -- 4.6.2 Aircraft integrated health management test -- 4.7 Summary -- References -- 5 Artificial intelligence and health management -- 5.1 Introduction to artificial intelligence and machine learning -- 5.1.1 Artificial intelligence -- 5.1.2 Machine learning -- 5.1.2.1 Concept -- 5.1.2.2 Classification -- 5.1.2.3 Model -- 5.2 Research on machine learning technology for spacecraft health management -- 5.2.1 Cluster analysis -- 5.2.2 Rough sets -- 5.2.3 Support vector machines -- 5.2.4 Bayesian algorithm -- 5.2.5 Time series model -- 5.2.6 Artificial neural network -- 5.2.7 Deep learning -- 5.2.8 Swarm intelligence -- 5.2.9 Ensemble learning -- 5.2.10 Summary -- 5.3 Inspiration and suggestions -- 5.3.1 Inspiration -- 5.3.1.1 Machine learning applied to spacecraft health management is an inevitable trend in the future -- 5.3.1.2 The application of machine learning in spacecraft health management is a key foundation to improve the health manag... -- 5.3.2 Application recommendations -- 5.3.2.1 Clear application goals. , 5.3.2.2 Clear problem definition and application boundary -- 5.3.2.3 Sufficient spacecraft big data and computing resources are needed to provide basic support -- 5.3.2.4 It is necessary to provide timely feedback on the application effect and continuously optimize the algorithm -- 5.3.2.5 It needs to be organically combined and coordinated with traditional methods -- References -- 6 Conception of spacecraft autonomous health management system -- 6.1 Concept and connotation -- 6.1.1 Cognition -- 6.1.2 Autonomous health management of spacecraft based on cognitive technology -- 6.1.2.1 Fault perception and prediction of spacecraft internal information and external environment -- 6.1.2.2 Adaptive fault recognition cognition -- 6.1.2.3 Autonomous operation and management -- 6.1.2.4 Fault dynamic knowledge base -- 6.1.3 The difference between spacecraft autonomous health management based on cognitive technology and spacecraft adaptive ... -- 6.2 Demand analysis of autonomous health management of spacecraft system based on cognitive technology -- 6.2.1 Overall requirements for autonomous health management based on cognitive technology -- 6.2.1.1 The needs of spacecraft complex space environment -- 6.2.1.2 Requirements for autonomous diagnosis and decision-making of spacecraft -- 6.2.1.3 The need to improve spacecraft survivability and antistrike and antidestruction -- 6.2.2 The requirements of each subsystem of spacecraft for autonomous health management based on cognitive technology -- 6.2.2.1 The need for structure and mechanism subsystems to avoid space environment interference -- 6.2.2.2 Demand for high-reliability work of attitude and orbit control subsystem -- 6.2.2.3 Requirements for the normal operation of the propulsion subsystem -- 6.2.2.4 The need for efficient operation of the power subsystem. , 6.2.2.5 The need for effective management of data management subsystems -- 6.2.2.6 Requirements for temperature diagnosis of the thermal control subsystem -- 6.3 Preliminary assumption of autonomous health management system based on cognitive technology for spacecraft system -- 6.3.1 Main task analysis of autonomous health management of spacecraft based on cognitive technology -- 6.3.2 Overall scheme of spacecraft autonomous health management system based on cognitive technology -- 6.3.2.1 The main components of the onboard data management subsystem -- 6.3.2.2 The overall scheme of spacecraft autonomous health management is based on cognitive technology -- 6.3.2.3 Overall plan II for autonomous health management of spacecraft based on cognitive technology -- 6.4 Main technologies of autonomous health management design of spacecraft based on cognitive technology -- 6.4.1 Spacecraft fault detection technology -- 6.4.2 Identification technology of spacecraft fault perception information -- 6.4.2.1 Fault identification method based on expert system -- 6.4.2.2 Fault identification method based on fuzzy reasoning -- 6.4.2.3 Fault identification method based on neural network -- 6.4.3 Spacecraft fault fusion technology -- 6.4.3.1 Fault fusion technology based on classical reasoning -- 6.4.3.2 Fault fusion technology based on Bayesian reasoning -- 6.4.3.3 Fault fusion technology based on D-S evidence reasoning -- 6.4.3.4 Fault fusion technology based on fuzzy reasoning -- 6.4.4 Cognitive technology for spacecraft fault decision -- References -- III. Autonomous task management -- 7 Spacecraft autonomous mission planning connotation -- 7.1 Mission planning techniques -- 7.1.1 Mission planning definition -- 7.1.2 Mission planning major developments -- 7.2 Development requirements for spacecraft autonomous mission planning. , 7.2.1 Traditional spacecraft task management mode.
    Weitere Ausg.: ISBN 9780443132834
    Sprache: Englisch
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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