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Python flying at 40,000 feet - part 1

Raffo
May 09, 2016
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Python flying at 40,000 feet - part 1

Presentation by Marko Vasiljevski given at PyData London 2016

Raffo

May 09, 2016
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Transcript

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  4. Python flying at 40,000 ft Marko Vasiljevski & Raffaele Rainone

  5. Instead of ‘Click here to add title’ Flight data monitoring

    – what? Flight data analyst in 1 minute Engine health monitoring Problem statement Raff on the stage - solution (hopefully!)
  6. Flight Data Monitoring (FDM) Airlines worldwide obliged to do FDM

    Spotting deviations from safe operation Non-punitive Confidential
  7. Quick Access Recorder Flight Data Recorder Data Acquisition Unit

  8. How?! Take-off, fly, land Copy data to servers Data cleansing

    (“numpy masked arrays”) Data analysed by software Events detected
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  14. Engine performance monitoring N1 N2 Fuel Flow Exhaust Gas Temperature

  15. Engine performance monitoring Fuel Flow Exhaust Gas Temperature

  16. Engine performance monitoring

  17. End of take-off flow

  18. End of take-off flow

  19. End of take-off flow

  20. End of take-off flow

  21. End of take-off flow

  22. End of take-off flow

  23. End of take-off flow

  24. End of take-off – a problem If not detected properly

    – problems with engine health Difficult to do deterministically, i.e. with classical signal processing What if a parameter fails (happens not so rarely)
  25. End of take-off – a solution Time at vertical navigation

    mode selected (VNAV) Drop/rise in fuel flow (FF) and/or exhaust gas temperature (EGT) Search for changes around that point in time Gather the knowledge Calculate probability for EOT for unseen flight
  26. End of take-off – a solution Time at vertical navigation

    mode selected (VNAV) Drop/rise in fuel flow (FF) and/or exhaust gas temperature (EGT) Search for changes around that point in time Gather the knowledge Calculate probability for EOT for unseen flight
  27. Hkjk;l