- Predictive Maintenance
Predictive Maintenance with A1 Digital
Predictive Maintenance helps companies generate valuable information for predictive maintenance from raw data.
We are your partner for digitisation solutions
With the best network and a secure infrastructure, we are your reliable partner in digitalisation.
About us
From infrastructure to implementation. We offer tailor-made products & solutions for every stage of digitisation.
Solutions
With experience, knowledge and the right partners, we accompany our customers on their journey into digitalisation.
Case studiesPredictive Maintenance - a multi-level learning process
1st step: collect data
Predictive maintenance begins with connected machines to gain data.
2nd step: Transform data
Erroneous records will be retired, data from different sources will be merged.
3rd step: recognize deviations
Machine Learning pattern recognition detect the smallest deviations from the normal state.
4th step: prevent failures
Foreseeable problems can often be solved during operation.
5th step: Automation
Automation of all steps from data acquisition to application
"Gut feeling - that was yesterday. Today we have powerful and adaptive computers and algorithms at our side that provide us with valuable information to identify problems before they lead to expensive machine outages. "
Request Demo now!
Get in touch with us and we will arrange a demo with you.
Frequently Asked Questions about Predictive Maintenance
For companies with stringent data security, privacy, or regulatory requirements, we offer specialized deployments that you can organize through your preferred cloud provider or run on your own infrastructure to meet the company's needs for traceability and repeatability across all your workflows to fulfill.
Any questions left?
Then simply contact our experts and let them advise you individually on our solutions & your chances of digitalization. We look forward to your message! A1 Digital will use all information provided here exclusively in accordance with the privacy policy.
