In the age of Internet of Things mechanic facilities are more and more connected. They produce operating data continuously. Functionality of components can be tested and measured directly through well-chosen interfaces and sensors. Statistical methods are used to analyze the collected data and to find the optimal time for a checkup or a timely/premature exchange of parts. Thus, downtime can be minimized and production quality can be held at its highest. Large operational facilities can be serviced more efficiently and cost-effectively through predictive maintenance. The overall output is increased as production processes can be carried out without downtime. The frequency of expert check-ups can also be decreased as the optimal time for checking can be determined. Consumers can also benefit from this technology, for example in cars that display repair needs before actual failure of parts.