Predictive Maintenance

Reduce downtime due to equipment failure

Sticking to the break/fix model is an operational weakness for energy, oil and gas related operations. Poor to non-existent maintenance strategies can reduce a plant’s productive capacity up to 20 percent. Unexpected downtime affecting industrial manufacturers due to equipment failure results in an estimated loss of 50 billions each year.

Business Driver

Predictive maintenance uses data and algorithms to optimize high-value machinery that manufacture, transport, generate, or refine products.

Data Needed
  • Sensor data
  • Various other technical data, depending on equipment
Deliverable
  • List of estimated functioning time for critical assets + optimal replacement time

Methods Used
  • Decision Trees
  • Random Forests
  • Support Vector Machines
  • Artificial Neural Networks

Back to all use cases

More projects awaiting

Our Approach

The way we manage all projects

Get in touch with us

Address

Romania


Email

office@insightout-analytics.com


Phone

+40 726 383 872

InsightOut Analytics

InsightOut Analytics is a consulting firm for Data Science, Machine Learning & AI.

We develop complete business solutions which enable our clients to stay competitive in their industries by taking data-driven decisions.

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Get in touch

Romania

office@insightout-analytics.com

+ 40 726 383 872