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  • Development of an Automated Method for Forecasting the Operating State of Subsea Systems 
    Escola Politécnica
    University de São Paulo

    Research theme


    Aplication of reliability, risk analysis and artificial intelligence techniques to provide subsidies for the development of digital shadows of subsea pieces of equipment. 


    Project abstract 
    To present a methodology for the development of digital shadows of subsea systems capable of predicting the behavior 
    and operational conditions of such systems from monitored data and estimated parameters. 
    Based on digital shadows application, a procedure to define equipment inspection and maintenance schedule based on risk 
    analysis techniques will be developed aiming at controlling risks during an operational campaign. The digital shadow model shall be developed in Python Software.


    Requirements for the candidate


    PhD or Doctoral degree in engineering, physics or mathematics.


 


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