AISTech 2022

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Condition Evaluation as Basis for Digitalization – Use Cases and New Analysis (Room 311)

New analyses are constantly being developed to analyze the condition of machines in even greater detail in order identify the phenomena that were previously undetectable (e.g., spindle knocking). New methods of sensor technology open up new possibilities, even in components that were previously difficult to monitor (e.g., acoustic emission). The new methods of digitization and big data analytics are accelerators for moving from pure condition monitoring to condition evaluation, respectively, predictive asset health (e.g., novelty detection). This presentation shows practical examples that these technologies have left the concept stage and have already proven their industrial suitability in practical operation.