Cassantec AG from CeBIT Partner Country Switzerland, is adding a horizon to predictive maintenance so companies can ideally get a few years advance warning of when industrial machinery and plants will develop faults.
The motto for CeBIT 2016 "d!conomy: join - create- succeed" encourages people to take the reins as decision-makers and designers and steer the digital revolution themselves. Thus a key task in digitalizing business and society is to find a more stable basis for making decisions. And when it comes to production operations, Cassantec AG from CeBIT Partner Country Switzerland is doing just that. Cassantec Prognostics is an algorithm that adds an explicit prognostic horizon to predictive maintenance. The new release is being showcased for the first time at CeBIT 2016.
The SaaS solution Cassantec Prognostics helps companies get an early idea of when faults will occur in industrial plants and machinery. The latest version has a wide range of extensions. "We are constantly working to expand the range of potential applications by analyzing data for condition-based forecasts," explains Moritz von Plate, CEO of Cassantec. "The difficulty in maintenance management, along with condition monitoring and preventive maintenance, is finding the right strategy for plants and machinery. We simplify this decision by preparing a condition-based forecast that gives explicit prognostic horizons for faults," says von Plate. Cassantec Prognostics uses a traffic signal to show users when a fault is going to occur – in the ideal scenario it should be possible to look months ahead and, in some cases, even years. The new version of Cassantec Prognostics includes a scenario calculator for future operating regimes, an extensive results and data library and retrospective data analysis. Visitors to CeBIT 2016 can test out the new digital crystal ball for themselves, as Cassantec is staging live forecasts from the mining, energy, oil and gas, and transport sectors at the fair.
Cassantec GmbH (10625 Berlin, Germany), Hall 11, Stand B38, Topic: Internet of Things