A large German crane manufacturer uses the i.Sense condition monitoring system to ensure an optimum production process. It uses the EC.B break detection, EC.P push/pull force monitoring, and CF.P chainflex tensile force monitoring products. All dynamic data are saved by the i.Cee module and processed. Here, machine learning and AI algorithms calculate the service life and display it on a web dashboard on the
i.Cee dashboard on any internet-enabled device as "days until the next recommended maintenance work"