Risk-Based Maintenance

The use of diagnostically supported maintenance requires reliable condition monitoring systems, reliable diagnostic results and extensive experience in determining the relationship between the measurement result and the condition of the component.

The implementation of a risk-oriented maintenance strategy based on measured data requires a high degree of plant-specific knowledge and highly developed sensor technology, sophisticated data processing, and information mining. The condition of the plants, machines, and components is determined and known at all times using suitable monitoring techniques.

Risk Identification – Risk Elimination – Reliability Increase

If you want to avoid unplanned downtimes, it is imperative to forecast the possible remaining running times until you will need to carry out a maintenance action. With the right technology, it can be possible to plan future investments in detail, hire an expert (if necessary) and to execute maintenance during planned operational downtimes.

Machine Learning and Artificial Intelligence

We tackle the abundance of time-synchronized, real-time data of various origins with AI and Machine Learning tools.