Predictive maintenance

More and more plant operators are coming to rely on predictive maintenance. Maintenance scheduling can be optimized with the help of asset condition monitoring and innovative software solutions.

The Swiss company Cassantec AG, with secondary headquarters in ­Berlin, presents 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 condition 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. So, 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

The targeted use of predictive maintenance generates major savings potential with regard both to planned repairs and to maintenance outlays in comparison with unplanned repairs. It also reduces downtime and maintenance time expenditures while decreasing service costs, accelerating the production flow and increasing productivity. As von Plate knows, “The overall potential for further sophistication is nowhere near exhausted, and machine learning technology is already contributing to further improvement.”

//" target="_blank" >


Related articles:

Issue 6/2015 CASSANTEC

Prognostics provides a precise time frame

Almost every company knows what it is like when there is an unplanned outage of equipment. One reason for such an outage can be a maintenance schedule that has not been optimally adapted to the...

Issue 10/2015 CASSANTEC

Lower cost and higher planning security for the cement industry

Operators of industrial equipment like cement plants often need to make decisions that relate to the future. They usually plan their maintenance schedules in regular intervals, based on manufacturer...

Issue 3/2016 25.04.?–?29.04.2016, Hanover/Germany

Predictive maintenance as a focus at the Hannover Messe

Repairing components only after a fault has occurred – that was yesterday. Today, sensor technology and IT enable predictive maintenance of production machines. Thanks to the linking and...

Issue 8/2021 ABB

ABB brings AI to asset performance management

ABB has strengthened its existing digital offerings with the launch of the ABB Ability Genix Asset Performance Management (APM) Suite for condition monitoring, predictive maintenance and 360-degree...

Issue 1/2022 ABB MOTION

Mokrá relies on predictive maintenance

The cement factory in Mokrá is one of the largest and most modern cement plants in the Czech Republic and is a part of the German company HeidelbergCement. The technology used by the cement plant...