In spacecraft operations, ensuring the spacecraft health is paramount for mission success and longevity. The health analysis involves meticulous examination of data, typically presented in the form of graphs and plots. This process demands substantial human effort and time investment, where analysts determine the spacecraft’s condition based on patterns observed in related parameters. However, this manual approach can be significantly enhanced through the integration of AIML algorithms. Here propose a novel framework for automated health analysis of spacecraft utilizing AIML techniques. By harnessing the power of artificial intelligence, our system aims to accelerate and streamline the spacecraft health assessment process.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Image Based Spacecraft Health Evaluation by AIML Based Expert System


    Contributors:


    Publication date :

    2024-07-22


    Size :

    2765808 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    AIML for Road Accident Analysis

    Rathore, Saurabh Pratap Singh / C, Sanitha P / Varshney, Manoj et al. | IEEE | 2024


    AIML SMART VERTIPORT IN A BOX AUTONOMOUS MULTIMODAL PHYSICAL AND DIGITAL INFRASTRUCTURE

    DICOSOLA MICHELE | European Patent Office | 2024

    Free access

    Spacecraft Environmental Anomalies Expert System

    H. C. Koons / D. J. Gorney | NTIS | 1988


    Spacecraft environmental anomalies expert system

    GORNEY, D. / KOONS, H. | AIAA | 1990