Industrial automation solutions and digital transformation specialist Rockwell Automation has unveiled Asset Risk Predictor, an innovative new product assisted by artificial intelligence (AI) positioned in the maintenance software market.
Asset Risk Predictor (ARP) is the latest product to be marketed under the Fiix by Rockwell Automation brand. This Fiix solution predicts asset condition to help users identify and eliminate failures before they occur. It uses data collected by AI-assisted sensors, machine recipes and operating environments.
According to Rockwell Automation, the tool is powerful enough to learn the signs of failure in as little as a week, enabling it to predict breakdowns several days in advance; furthermore, it is designed so that any user can take the appropriate action in a matter of seconds.
Operators are informed of the level of risk to which each supervised asset is exposed on a daily basis. As a result, they can expect fewer breakdowns, and spend less time on manual inspections. In addition, ARP offers the possibility of reducing resource expenditure and production time dedicated to unnecessary maintenance interventions, while eliminating the element of uncertainty intrinsic to traditional predictive maintenance.
"I'm delighted with the development of Asset Risk Predictor (ARP), a cutting-edge AI-assisted solution, says Liudmila Domakhina, Product Manager for Fiix by Rockwell Automation. This solution provides users with the means to move towards predictive maintenance, while minimizing their monitoring expenses and avoiding downtime. Asset Risk Predictor demonstrates our commitment to innovation in the industrial maintenance sector."
Asset Risk Predictor can be purchased and used independently of a Fiix Computerized Maintenance Management System (CMMS), or seamlessly integrated with the CMMS in use. When combined with a CMMS, users can react more quickly to a potential failure by automatically creating work orders in the CMMS.