Intelligent condition monitoring with MLnext Watch the video to find out how MLnext intelligently evaluates machine data and detects the condition at an early stage – for greater transparency during operation.
Find out for yourself
Discover how MLnext is revolutionizing predictive maintenance for electric motors. In our demo video, we show you firsthand how artificial intelligence and modern sensor technology can detect potential faults at an early stage, ensuring maximum system availability and fewer failures.
Innovation starts here – watch the MLnext video
This video provides you with a comprehensive overview of MLnext and its possibilities for intelligent condition monitoring. It explains how machine learning is used to record, analyze and evaluate relevant status data in order to detect changes and anomalies at an early stage. In addition, the video uses a practical example to show how MLnext is used in real operations – from the database to teaching the models and interpreting the results. This clearly shows how condition monitoring with MLnext can be easily integrated into existing processes and what specific benefits it offers in practical industrial applications.
What makes MLnext special?
- AI-powered analysis: MLnext continuously evaluates sensor data and detects anomalies before they become a problem.
- Easy integration: With modular components and intuitive software, the solution is quickly ready for use.
- Flexible use: Suitable not only for electric motors, but also for drives, fans, compressors, and more.
