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IOT Predictive Maintenance Solutions

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4 Ways to maintain machines
Reactive: Fix when broken
Planned: Schedules activities
Proactive: Defect Elimination
Predictive Maintenance

CHOOSE PdM.
The "Predict & Prevent" Approach

Predictive Maintenance (PdM) is a paradigm shift in the way assets are monitored and managed to realize worry-free uptime. Not only the time required for maintenance planning is reduced, and over-maintenance is avoided, but also the PdM helps detect the onset of equipment degradation and address the problems as they are identified.

  • It is an IIoT-based, big data and dynamic algorithm-driven, advanced Machine Learning and Artificial Intelligence solution.
  • It helps monitor the "Health" of the critical components such as bearings, pumps, motors, gearboxes, and robotic joints to predict and optimize their remaining useful life.
  • The solution includes a library of out-of-the-box, quick-to-deploy use cases (Templates) for Industrial Robots, Stamping Machines, Machine Tools, Compressors/Chillers, and other equipment types.
  • It facilitates and supports end-to-end analysis of large volumes of data through a re-configurable environment designed to integrate into existing enterprise infrastructure.

 

Main Features

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PdM Process & Methodology

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The Future of Industrial Asset Management Belongs to PdM

Merino & IoTco, bring to you IIoT-based, big data and dynamic algorithm-driven, advanced Machine Learning and Artificial Intelligence software product 'PdM' from Predictronics Corp.

PdM is often the most efficient maintenance strategy available-a gold standard for which to aim.

PdM can reduce the time required to plan maintenance by 20-50 percent, increase equipment uptime and availability by 10- 20 percent, and reduce overall maintenance costs by 5-10 percent.

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