How to do real-time, data driven, risk assessment on your asset base?
This webinar shows you how to turn your existing FME(C)A and failure models into real-time, cause-consequence models that keep a constant eye on your asset health.
Preventing Asset Outage with Historical Data
Your assets have a plethora of data collected and stored, ready for you to use to its best potential. In this webinar, we show you how you can use historical data and apply it to creating effective predictive models for your assets.
PPA January 2021 with Endress + Hauser
UReason and Endress+Hauser talked about how a smart plant can be created, based on the NAMUR Open Architecture (NOA) concept, and real-time asset degradation and forecasting model processing is done by Asset Performance Management software APM Studio
Technohub Initiative
In cooperation with Krohne Altometer, Focus-On, Valk Welding, Damen Shipyards, Systems Navigator, Fieldlab Duurzaamheidsfabriek, ROC DaVinci College and HBO Drechtsteden, UReason will develop Master classes and Workshops as part of Technohub.
UReason’s New Logo
Our new logo illustrates the capabilities of UReason and shows how our APM software empowers the user to handle the data in an intelligent way.
Automation Pyramid: Field Level Infographic
There is a great variety of manufacturers that produce measuring and control instruments or assets that do the physical work in a factory. Check out this infographic, featuring the leading manufacturers of the devices that can be found at the field l
UReason Joins the Institute of Asset Management
UReason will be collaborating with the Institute of Asset Management and other affiliate member organisations to diffuse asset management knowledge and best practice among organisations and society.
Voorspellend onderhoud: hoe krijg je je organisatie mee?
UReason en MaxGrip uit hoe Predictive maintenance de prestaties van de onderhoudsorganisatie kan verbeteren.
FHI Data Science online meeting
During this online meeting, experts from UReason and Viqtor Davis discussed the use of data science, AI in industry, laboratories, and healthcare.