GE recently briefed ARC on its “Enterprise Impact” solution.  This combines the capabilities of the company’s Bently Nevada machinery condition monitoring capabilities with Predix-enabled data connectivity, GE’s Asset Performance Management (APM), and other applications like SmartSignal and Meridium.  Enterprise Impact ties these capabilities together into a single common environment in which end users can take advantage of large datasets provided by a multitude of assets in the field to make a true predictive and proactive maintenance strategy possible. 

GE Enterprise Impact Combines Capabilities of Bently Nevada, APM, and Predix

ARC has written extensively about the value of transitioning from a reactive or preventive maintenance strategy, to a predictive or proactive maintenance strategy.  Reactive, or “fix it when it breaks” maintenance can cost five times more than preventive maintenance, and 10 times more than a predictive asset management strategy.  With a predictive strategy based on condition monitoring, asset maintenance is triggered by asset condition, rather than a fixed period of time or number of equipment cycles. 

Even small incremental reductions in maintenance spending have a huge impact across the enterprise, especially when it comes to maintaining key pieces of rotating equipment and machinery that are also often the root cause of an unplanned plant or facility shutdown.  ARC estimates the unplanned downtime costs the process industries up to $1 trillion a year in lost production worldwide.  Many end users track maintenance spending as a percentage of what it would cost to replace their assets, or replacement asset value (RAV).  

GE designed Enterprise Impact to make it easier for industrial organizations to create an enterprise-wide predictive maintenance strategy that also provides key insights and KPIs around plant assets, from a single machine to the entire enterprise.  It’s really a risk management tool that also provides a single holistic environment for dealing with machinery assets.  It allows both operations and asset managers to identify and prioritize machinery health issues across multiple technologies.  Enterprise Impact can be scaled from a single machine to an entire enterprise. 

Origin Australia Pacific LNG provides a good case study.  Australia Pacific LNG is a joint venture between three oil and gas companies: Origin (37.5%), ConocoPhillips (37.5%) and Sinopec (25%).  Origin is responsible for the operation of the Australia Pacific LNG gas fields and main gas transmission pipeline.  The company deployed enterprise impact in four regions at nine sites that do a combination of gas gathering, water treatment, and processing.  The company installed a wide range of condition monitoring equipment on a variety of machines, from basic condition monitoring to inline continuous vibration and process monitoring.  Origin was able to combine both online and offline measurement data.  Having an enterprise-wide platform for analyzing machinery health data allowed the company to build a predictive maintenance strategy that resulted in a $5 million reduction in overall maintenance and operating costs combined with $9 million in increased production.

Origin Australia Pacific LNG Implementation of Enterprise Impact

You can check out this YouTube video on Enterprise Impact here: https://www.youtube.com/watch?v=WA8MnSmoSZY