No more surprises in the operations of your wind farm!
We reliably predict your asset behaviour so you can achieve BEST-IN-CLASS performance.
Achieve asset excellence with risk-based operations
No more unexpected technical surprises?
Fully understand the operational condition of your wind turbines?
Get reliable statements about the failure behaviour?
Conduct systematic risk management?
Improve the operations with cutting edge AI&ML tools?
Be independent of turbine manufacturers and service companies?
Big Data Analytics
PREDIXXION - The Asset Performance Engine
The PREDIXXION approach
Predict asset failures and avoid surprises
Prioritize repairs and replacements
Extend useful lifetime of the assets
Improve asset strategy and processes
Optimize asset health by understanding equipment needs
Your outcomes by working with us
Digital connection of maintenance data
We systematically collect all relevant maintenance data in digital form and process them for evaluation.
Real-time analysis of the technical condition
At any time you are able to obtain a reliable and systematic evaluation of the operationg condition.
Systematic prediction of failure behaviour
By using Artificial Intelligence (AI) and predictive algorithms individually adapted to your problem, you have a reliable view of performance.
Continiuous improvement of the prediction quality
Through state-of-art Machine Learning (ML) methods, you are able to constantly improve the quality of the predictions and thus the asset performance.
Individual risk management measures
Enable reliable operation at all time, but if special measure should ever be necessary, these can be planned reliably and in good time.
Your way to PREDIXXION
Step1: Secure an appointment
To arrange an initial consultation with an expert from our team now, fill out the contact form.
Step 2: Analytical talk
We analyse your current situation and answer all your questions about the cooperation.
Step 3: Implementation plan
You will receive a solution for BEST-IN-CLASS operations tailored to your situation.