AI powered Predictive Maintenance

BMW

Location: Munich, Germany

Business: Builds EV battery components with 300 advanced machines.

Problem

Voltage spikes in assembly robots cost €2.5 million annually, with 25% of downtime linked to unpredictable electrical faults.

Problem
Approach

Approach

We worked directly with BMW’s robotics team, experimenting with real time electrical signal analysis, a technique adapted from aerospace projects.

Custom Solution

Created a MonkeyVision Predict setup with 120 current sensors and 30 cameras, crafting a bespoke AI model to detect voltage anomalies at 98% accuracy, integrated with BMW’s control system.

Solution
Implementation

Implementation

  • 4-week diagnostic with robot logs
  • 12-month model development
  • Deployment on 50 machines
  • Trained 25 engineers
  • Fine-tuned over 6 months

Results

45%

Downtime drop
(€1.125 million saved)

25%

Reduced repair costs
(€625,000/year)

22%

Efficiency increase

97%

Fault prediction accuracy

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