Software upgrades speed predictive maintenance response

Jon Lawson

Emerson has improved its AMS Machinery Manager predictive maintenance and analysis software with new visibility tools and mobile access to help users more quickly identify and act on machinery health issues anytime and anywhere. New integration between AMS Machinery Manager and the Plantweb Opticsasset performance platform enables automated workflows – helping maintenance and operations teams focus on exceptions to make better decisions faster.

 
The number of devices and sensors that organisations employ to ensure continuous, safe operation has grown significantly. When data from these devices is unprioritised, it can obscure problems, making it hard for operators to quickly determine pressing issues. A new AMS Machinery Manager dashboard helps solve this challenge by automatically filtering critical data and passing it to users’ mobile devices via Plantweb Optics. With instant mobile alerts, users can more quickly identify and analyse machines with potential defects.
 
The new AMS Machinery Manager dashboard is also more interactive, allowing users to delve in and quickly discover root causes for asset alarms. Users can click on problem assets to drill down to health data with analytics tools – such as Emerson’s PeakVue technology for early indication of equipment defect development – to receive a clear indicator of overall asset health. A new analysis bookmarks feature helps users easily monitor critical issues. Upon identifying an alert or status that needs further review or action, users can flag items for second opinions or as a reminder to take action or revisit specific assets.
 
It can now be installed on-premises or in the cloud, reducing the need for on-site information technology to manage software installations. Emerson has also expanded the AMS Machinery Manager database to support up to 32GB, helping users consolidate all their asset data into a single installation.
 

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