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UID:pretalx-pyconde-pydata-2025-89BX8V@pretalx.com
DTSTART;TZID=CET:20250425T101500
DTEND;TZID=CET:20250425T104500
DESCRIPTION:Flame cutting is a method where metals are efficiently cut usin
 g precise control of the oxygen jet and consistent mixing of fuel gas. The
  condition of the nozzle is changing over time: deposits formed during the
  cutting process can degrade the flame quality\, reducing the precision of
  the cut. Traditionally\, nozzles suspected of wear are sent back for manu
 al inspection\, where experts evaluated the flame visually and audibly to 
 determine whether repair or replacement is needed. This project leverages 
 machine learning to optimize this process by analyzing acoustic emission d
 ata.
DTSTAMP:20260713T183540Z
LOCATION:Palladium
SUMMARY:Towards Intelligent Monitoring: Detecting Degraded Flame Torch Nozz
 les - Dominik Falkner
URL:https://pretalx.com/pyconde-pydata-2025/talk/89BX8V/
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