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REAL-WORLD APPLICATION

Predictive maintenance for industrial robots

Quickly identify issues and repair automotive industrial robots with predictive maintenance solutions. Protect your CapEx investment, minimize downtime and optimize resource allocation to achieve maximum efficiency and productivity.

Industrial robots handling car parts in a car factory.

Challenge

What are the major challenges while operating robots?

  • Torque is increasing due to continuously aging robot equipment
  • Potential failure in the reducer gearbox, impacting the robot performance
  • Need to identify the root causes quickly to prevent prolonged downtime

Solution

Enhanced reliability of robotic operations through predictive maintenance combining AI with human insights

  • Automatically generates machine and maintainer behavior models
  • App detects abnormal torque trends and leads your maintenance technicians to the potential grease leak issues e.g., on a single axis
  • Grease leaking example can cause the reducer failure and this can be avoided by replacing the reducer timely

Reduce industrial robot downtime and boost efficiency

Improper maintenance of automotive industrial robots can lead to a number of issues, from increasing torque to reducer gearbox failures. Our solutions help you identify potential problems, determine the root causes and repair them — before they interrupt production. With Predictive Maintenance, you will:

  • Detect issues early
  • Reduce manual inspections
  • Lower maintenance costs and overmaintenance
  • Minimize downtime
  • Increase productivity
  • Extend asset life
  • Improve sustainability
Industrial robots performing predictive maintenance in a professional factory setting.
An icon representing reduced engineering time with a clock and a gear.

Reduced downtime

Early failure detection and timely repair reduces unexpected shutdowns.

An icon representing reduced engineering costs with a downward arrow and a percentage sign.

Lower maintenance cost

Proactive maintenance prevents more severe equipment damage.

Magnifying glass with an exclamation mark symbolizing predictive fault detection

Increased maintenance staff productivity

Predictive maintenance enables to direct the attention and expertise to where it’s needed most.

CASE STUDY

Global automotive manufacturer

Senseye Predictive Maintenance increases OEE

Results: This auto manufacturer, with plants in more than 20 countries, wanted to reduce manual analysis and production downtime. With our solutions, they now:

  • Remotely monitor more than 10,000 machines and 100 different machine types
  • Support over 500 active, concurrent users
  • Better leverage an abundance of existing sensor data
Industrial robots performing predictive maintenance in an automotive welding factory.

Have any questions?

Let’s chat. Reach out and we will help you figure out the best place to start.