The Swiss company Cassantec AG, with secondary headquarters in Berlin, is presenting a prognostic solution for equipment malfunctions. Cassantec Prognostics, as the algorithm is called, provides the time component for predictive maintenance: With this tool, a company can predict when an asset is most likely to malfunction.
Many branches of industry are now working on “predictive maintenance“ initiatives. Digital networking of assets makes it possible to permanently monitor status data and, with the help of software solutions like Cassantec Prognostics, to process them appropriately. With the aid of condition-based availability forecasts, users optimize their own asset management practices and gain risk profiles of future malfunctions. “Appropriately adjusted maintenance schedules do away with unnecessary costs“, explains Cassantec AG CEO Moritz von Plate. “For example, when parts are not replaced according to a fixed timetable, but only when their condition calls for it. That way, Cassantec Prognostics users are able to avoid unnecessary asset downtime. The active management of residual asset service life yields major benefits for the company. By means of a traffic light system, our software shows the user when a malfunction can be expected.“
Corresponding prognostic reports can be drawn up for time spans of months or even years.
Predictive maintenance is the key