Our latest insights

We have published a number of datasets that we generated together with Flow Center of Excellence. Next to these there are some good resources available if you want to learn how to apply (advanced) analytics on data for a CBM/PdM project.

We take you through a number of practical case studies in various domains, where the analysis of data has led to improvements in processes and systems.

Enterprise Asset Management platform provider Ultimo and Asset Performance Management software provider UReason have integrated functionalities to provide real-time asset condition monitoring, predictive and prescriptive maintenance capabilities.

UReason unterstützt Hersteller von Apparaten, Maschinen und Instrumenten bei der Entwicklung von Condition Monitoring Anwendungen und Betreiber bei der Integration dieser Anwendungen. In diesem Webinar möchten wir von unseren Erfahrungen berichten.

Predictive Model Markup Language (PMML) provides a way for analytic applications to describe and exchange predictive models produced by data mining and machine learning (ML) algorithms.

In this webinar, we will show you how to create meaningful dashboards that visualise asset information and key performance indicators (or KPIs) in minutes on live data. The live demo will be done using Balluff’s BCM sensors and JSON-for-IOLink.

UReason will participate in the Predictive Maintenance Online Knowledge Days organized by FHI on June 22nd & 23rd 2021.

In diesem Webinar möchten wir von unseren Erfahrungen über den erfolgreichen Einsatz von virtuellen Sensoren berichten.

In this webinar, we will explain how on the basis of the data available from your assets and processes you can create data-driven maintenance solutions that create immediate insights.