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INDUSTRY AGNOSTIC MACHINE LEARNING PREDICTIVE MAINTENANCE

POWER & ENERGY

Get machine failure analysis and prediction in the entire power plant – from single small turbine to a fleet of large capacity turbines spread across multiple power plants.

Predict failures in:

  • Combined cycle
  • Wind
  • Waste-to-energy
  • Hydro
  • Geothermal
  • Coal

OIL & GAS

Upstream, midstream or downstream, it all relies on available and operating machinery. Presenso solution improves production continuity and increases Overall Equipment Efficiency (OEE) across all fields and facilities.

Predict failures in:

  • Drilling and production
  • Refining and processing
  • Pipeline and transportation
  • Offshore/Onshore

CHEMICAL

As an asset intensive industry operating at high capacity, unplanned stoppages hit the bottom line.

Improve operational performance with Machine Learning Predictive Maintenance:

  • Analyze plant data in real time
  • Receive clear view of asset performance
  • Use Root Cause Analysis data to prioritize repair activities

PULP AND PAPER

One hour of downtime can cost a pulp and paper mill over $100,000.

Machine Learning for Asset Maintenance:

  • Reduces the percentage of maintenance as a cost of sales.
  • Improves production yield rates
  • Extends machine asset life

POWER & ENERGY

Get machine failure analysis and prediction in the entire power plant – from single small turbine to a fleet of large capacity turbines spread across multiple power plants.

Predict failures in:

  • Natural gas
  • Coal
  • Nuclear
  • Hydro
  • Geothermal
  • Wind

OIL & GAS

Upstream, midstream or downstream, it all relies on available and operating machinery. Presenso solution improves production continuity and increases Overall Equipment Efficiency (OEE) across all fields and facilities.

Predict failures in:

  • Drilling and production
  • Refining and processing
  • Pipeline and transportation
  • Offshore/Onshore

CHEMICAL

As an asset intensive industry operating at high capacity, unplanned stoppages hit the bottom line.

Improve operational performance with Machine Learning Predictive Maintenance:

  • Analyze plant data in real time
  • Receive clear view of asset performance
  • Use Root Cause Analysis data to prioritize repair activities

PULP AND PAPER

One hour of downtime can cost a pulp and paper mill over $100,000.
Machine Learning for Asset Maintenance:

  • Reduces the percentage of maintenance as a cost of sales.
  • Improves production yield rates
  • Extends machine asset life

Learn more about our solution