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Reduce Downtime by Predicting Machine Failures

Reduce Downtime by Predicting Machine Failures

Industry: Mining

Challenges:
  • Abrupt pump failures due to wear & tear resulting in pipeline blockage.
  • Unplanned breakdowns cause longer stoppage time for production.
  • The rectification process takes longer due to the process of reporting and approval being done manually.

Solutions:

  • Install wireless sensors to monitor pump acoustic & vibration.
  • Implement Quantum 360 solutions that collects data from sensors and uses AI algorithms to predict failures.
  • Condition Monitoring and reporting for predictive maintenance for all motors with Quantum 360 Analytics.

Outcome:

  • Downtime due to pumps & motors failure reduced by 37%.
  • Unplanned downtime reduced by 82%.
  • Production output or yield increased by 15.5%.

Benefits to Client:

Reduce blind spots for machine maintenance team.

Leverage on the data from the machine to predict breakdowns and implement predictive maintenance.

Improve production yield through optimum machine performance.

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