Rockwell Automation’s Predictive Maintenance as a Service Helps Prevent Unplanned Downtime

Rockwell Automation announced its Predictive Maintenance as a Service offering to help identify and prevent downtime on critical assets.  This new service will help manufacturers and industrial organizations by providing them with the advanced technologies and predictive maintenance tools to both prevent unplanned downtime and pro-actively schedule planned downtime events for maintenance, upgrades, etc.

Applying Predictive Maintenance as a Service

The service, which is applied on critical assets identified by the customer, analyzes data from connected technologies, such as sensors, control systems and smart machines.  Leveraging FactoryTalk Analytics and applying machine learning technology, engineers from Rockwell Automation can identify normal operations and build out data models to help predict, monitor for and mitigate future failures or issues as part of a preventive maintenance strategy.

Preventing unplanned downtime is crucial in all manufacturing and processing industries, where the uptime of critical assets has a direct effect on profitability. This also includes critical machines in continuous-manufacturing operations, where OEMs can implement the service on an asset and use the predictive capability to help provide better uptime performance scaled across all similar customer assets.

Using this service provides customers the ability to monitor predictions and analyze details of an alert without having to build their own data models or engineer their own solution.  Rockwell Automation delivers the data collection, machine learning and engineering support to build the models, validate and monitor patterns and predictions and keep those models up to date as data sets evolve.