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PREVENTATIVE MAINTENANCE

Preventative maintenance (or preventive maintenance) is maintenance that is regularly performed on a piece of equipment to lessen the likelihood of it failing. It is performed while the equipment is still working so that it does not break down unexpectedly.

For optimal performance, all factory machinery needs to be maintained and companies often have maintenance agreements in place, usually with the original machine manufacturers or their approved service network. Whilst useful, these agreements are largely service-interval schedules, which don’t take into account actual usage and do little to prevent unplanned downtime. This is the widely-used preventative and reactive maintenance model.

While reasonably efficient, it is easily surpassed in efficiency by the advantages gained through Predictive Maintenance.

PREDICTIVE MAINTENANCE

Predictive maintenance is more proactive, analysing the huge volumes of available machinery data to give you a better understanding of the ongoing health of your machines and pre-empt failure. This maintenance approach opens up opportunistic possibilities in machinery management, allowing you to adapt and enhance your existing maintenance arrangements. By analysing data to predict when machinery will break down, companies can remove surprise failures and reduce downtime, scheduled maintenance and the routine replacement of parts that may in-fact be perfectly healthy.

READ MORE ABOUT PREDICTIVE MAINTENANCE

Download the “Harness The Power of Prediction: Maximize ROI With The Right Condition Monitoring Solution” Whitepaper to learn:

  • The obstacles manufacturers need to overcome
  • How the arrival of smart technologies has helped tackle some of these challenges
  • The potential impact predictive maintenance can have on ROI

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WATCH HOW PREDICTIVE MAINTENANCE WORKS

TRUSTED BY

SKF, Siemens, GE, Schneider Electric, Nissan, Tata Steel, Smufit Kappa and many more…

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THE RESULTS

  • 85% improvement in downtime forecasting accuracy
  • 50% reduction in unplanned machine downtime
  • 55% increase in maintenance staff productivity
  • 40% reduction in maintenance costs

Read more about Predictive Maintenance

Download the “Harness The Power of Prediction: Maximize ROI With The Right Condition Monitoring Solution” Whitepaper

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