1.0GMBU e.V.https://www.gmbu.de/enMathias Luckhttps://www.gmbu.de/en/author/luck/Condition Monitoring with KI/ML - GMBU e.V.rich600338<blockquote class="wp-embedded-content" data-secret="9KnIggTC8f"><a href="https://www.gmbu.de/en/fachsektionen/condition-monitoring-mit-ki-ml/">Condition Monitoring with KI/ML</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.gmbu.de/en/fachsektionen/condition-monitoring-mit-ki-ml/embed/#?secret=9KnIggTC8f" width="600" height="338" title="“Condition Monitoring with KI/ML” — GMBU e.V." data-secret="9KnIggTC8f" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript">
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http://www.gmbu.de/wp-content/uploads/2025/01/HAL_MACHD_355_COND_KI1.jpg640554VIPFLUID Predictive maintenance for pump systems based on federated learning and synthesis of multiple sensor data-Subproject vibration diagnostics, feature extraction, fault diagnostics Climate change and also dwindling resources require careful and sustainable handling in the wastewater industry too. Innovative solutions based on digital technologies offer the opportunity to save resources and at the same time […]