Availability 
Which of the 1,000’s of Unseen Equipment Issues Will Rob Availability Next? 

It’s a simple truth. If you aren’t running, then you aren’t making money. Yet the root cause of an outage isn’t always obvious. What if you could take the biggest source of unplanned outages and eliminate them before they happen?

Solution: PlantWeb Intelligence to predict & prevent

PlantWeb's online monitoring, diagnostics, and notification of potential problems lets you detect and correct conditions that can lead to equipment failure or process upset — before they result in unplanned downtime. It also helps you improve control and maintenance, for shorter, less-frequent planned downtime and faster startups after shutdowns.

PlantWeb architecture, with its predictive intelligence, can help reduce and prevent downtime in:

pumps motors compressors valves instuments process equipment

PlantWeb’s predictive intelligence can alert you to the early signs of problems so that you can take corrective action before your operation is brought down. For example:

  • Intelligence in our Rosemount pressure transmitters, can detect plugged impulse lines that prevent accurate readings and can lead to a process upset, giving you time to take corrective action.
  • AMS Machinery Manager software provides vibration monitoring and lube oil analysis to help identify premature wear in mechanical equipment.
  • AMS Performance Monitor reports performance deviations in process equipment, so you can see in advance when conditions such as heat-exchanger fouling will leave insufficient capacity to run the process.

When potential problems arise, targeted online PlantWeb alerts help ensure that the right people get the right information right away and can take corrective action needed to prevent shutdowns

Shorter, less frequent planned downtime

Even if equipment problems don't cause unexpected downtime, planned downtime for maintenance or repairs can reduce availability if scheduled shutdowns happen too often or last too long.

PlantWeb extends the time between shutdowns by helping you detect and avoid conditions that can shorten equipment life. You can also shorten planned shutdowns because you'll know in advance which equipment needs attention and which doesn't, so you can avoid doing unnecessary work that can extend the downtime.

PlantWeb gives you the tools and information to make the same move.

  • With AMS Performance Monitor, for example, you can watch equipment performance trends to see whether problems like scaling on turbine blades will reduce efficiency enough to justify maintenance during the next planned downtime, or if it makes more sense economically to leave that task for a future shutdown — and resume production that much sooner.
  • Similarly, valve diagnostics in Fisher FIELDVUE digital valve controllers help you avoid servicing valves that don't need it yet. Knowing whether a valve's poor performance is caused by trim wear or too-tight packing also lets you plan maintenance work more efficiently and have the right parts on hand when scheduled downtime begins.
  • With AMS Device Manager, you have window into your field devices and instruments for the most effective assets health management and maintenance planning.

The Proof

 These are just a few examples of how PlantWeb architecture can help you improve availability. For a more complete analysis, download our free white paper. Available in multiple languages!


White Paper
Improving Availability with PlantWeb digital plant architecture PlantWeb improves process availability by using predictive intelligence to help you detect and avoid causes of equipment failure that can lead to unplanned downtime. It also helps you improve control and maintenance, for shorter, less-frequent planned downtime and faster startups after shutdowns.

PlantWeb University
• Availability 101 -  Overview of improving availability
• Availability 201 -  Improving availability by proper equipment installation
• Availability 301 -  Improving availability by detection and monitoring

PlantWeb Articles

Speaking EDDL
(Industrial Automation Asia, Aug 09 - 800KB PDF)
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Who's a big hit? (Readers Choice Awards)
(Chemical Processing, July 08 - 2.5 MB PDF)
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(Industrial Automation Asia, April 08 - 700K PDF)

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