Predictive Maintenance

Recognizing machine failures before they happen

What is Predictive Maintenance?

Predictive maintenance is the concept of analyzing sensor and production data in order to recognize or forecast wear processes and malfunctions in machinesat an early stage. The main objective of predictive maintenance is to optimally time maintenance measures such that they are carried out before actual machine failure in order to keep damage and downtimes to a minimum.

Predictive Maintenance at a glance

Early detection
of machine failure


of downtime

increase customer

Predictive Maintenance and Smart Data

In addition to a suitable IT infrastructure for data storage and analysis and presentation of results, implementing predictive maintenance solutions requires first and foremost smart data. Smart data includes the necessary relationships and properties for describing wear processes and malfunctions. In some cases this is very simple. For instance, a change in vibration in a bearing can be a sign of wear. However, for wear processes that underlie more complex, physical processes, we need a deeper understanding of the processes themselves in order to be able to identify variables through which the wear can be characterized.

Benefits of Predictive Maintenance

Permanent and automated monitoring of systems can identify disruptions in systems at an early stage so they can be resolved faster, which results in greater availability of the machines and systems. The analysis of relevant key variables (smart data) within a predictive maintenance service can more quickly identify causes of errors (see root cause analysis), which lowers service costs and improves customer satisfaction through better service.

We are happy to consult with you regarding proper selection of your predictive maintenance use cases, to work with you on suitable analytic solutions, and integrate them in your systems. You can thereby receive a complete predictive maintenance solution from a single source.

We are happy to advise you!

The core element of tomorrow’s economy will be “intelligent networking”: New value creation potential will arise when people can communicate with machines or machines can communicate with machines. In this economy, mechanical engineers will act as something like the gold miners of the future.

Quelle: Dr. Reinhold Festge, Präsident des Verbandes Deutscher Maschinen- und Anlagenbau (VDMA)

Any questions? We are happy to help.

Katana is your big data analytics expert for Industry 4.0 applications. With the help of the very latest cloud technology and the expertise of our own data scientists and data engineers, we facilitate fast, highly flexible analysis of your industrial data and the operationalization of profit-generating smart services in your company’s system landscape. Contact us and team up with a strong partner to transform your digitalization plans into a reality.