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One of the world’s largest engine manufacturers becomes the first in the industry to implement Dynamic limits to achieve better accuracy in predictive maintenance

Industry type:
Discrete Manufacturing

Achieved ROI within
6 Months

Impact

  • Better Response Time to Unforeseen Issues
  • Predictive maintenance of CNC Machines

Overview

The client wanted to implement IIoT , so its factory could achieve superior accuracy in error detection and prevention by enforcing dynamic limits in detection.

Challenges

  • Connecting advanced and legacy machines on a single platform
  • Dynamic limits for servo and spindle currents
  • The availability of massive data leads to a challenge in gathering actionable intelligence

Strategy

  • High-density data capturing from CNC machines with high data fidelity
  • High-speed computation and representation of dynamic limits to facilitate real-time visualization
  • Identification and interpretation of faults to predict failure in motors, batteries, and CNC fans of CNCs.
  • Independent signature patterns were then created for the Dynamic limits of servo and spindle currents, and all further processing was measured against them, giving an accurate picture of the operation.
  • The issue was resolved using Electrono’s E-FORECAST tool, which issued Email & SMS alerts to the respective decision-makers.

Output

  • Reduction of line downtime by 30-40%
  • ROI with 6 Months
  • Better spares planning and optimization of inventory management

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