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Rockwell Automation Unveils AI Predictive Maintenance Software

Asset Risk Predictor uses sensor data, machine recipes, and operational environments to predict asset health.

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Rockwell Automation

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Rockwell Automation recently launched an artificial intelligence (AI) product from Fiix, the company's cloud-based computer maintenance management system (CMMS) business. Asset Risk Predictor from Fiix by Rockwell Automation, 

The software, called Asset Risk Predictor (ARP), is the second offering from Fiix and uses AI sensor data, machine recipe, and operational environments to predict asset health so users can spot and eliminate failure before it happens. The tool can learn the signs of equipment failure in as little as seven days, predicting breakdowns days in advance, and built so anyone can act on the insights in seconds.

"I'm thrilled that we've developed Asset Risk Predictor, a cutting-edge AI solution,” said Liudmila Domakhina, group product manager, Fiix by Rockwell Automation in a statement. “ARP empowers customers to transition to predictive maintenance, saving on monitoring costs and preventing downtimes. It's a testament to our commitment to innovation in the maintenance industry."

According to Rockwell Automation, by showing users the daily risk level for each asset they monitor, they can expect fewer breakdowns, and spend less time setting up manual inspections. Other benefits include lowering the spend on resources and production time on unnecessary maintenance, removing the guesswork from traditional predictive maintenance.

Asset Risk Predictor can be purchased and used independently from a Fiix computerized maintenance management system (CMMS) or can be seamlessly integrated into the CMMS. When Asset Risk Predictors are connected to a CMMS, users can react to potential failure faster by automatically creating work orders in the CMMS.  

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