NCIG implements a condition based maintenance solution

NCIG deployed AI for Predictive Maintenance in Metals & Mining. rockwellautomation.com reports no complete outcome metric.

Maintained by Peter Korpak, Lead EditorHow evidence is checked

What NCIG was trying to fix

To ensure the long term coal loading capacity and maximise productivity at the Port of Newcastle which operates continually, 24 hour a day, seven days a week with the minimal onsite personnel. Integrated Condition Monitoring (ICM) Allen-Bradley® accelerometers and temperature sensors were used to measure vibration and temperature. XM® series dynamic measurement module provided real time processing of critical parameters. ControlLogix® and Integrated Architecture platform. Ethernet communications.

What NCIG deployed

Integrated Condition Monitoring (ICM) Allen-Bradley® accelerometers and temperature sensors were used to measure vibration and temperature. XM® series dynamic measurement module provided real time processing of critical parameters. ControlLogix® and Integrated Architecture platform. Ethernet communications. Condition Monitoring software

Results

Reduced downtime Significant savings annually in unplanned downtime by detecting approximately 10 impending failures per year at an average repair time of 10 hours per incident. Emonitor software is key to success of the system by providing both historical and real time data analysis allowing quick decisions to be made for preventative action. Minimum support requirements Integrating the Condition Monitoring system into the control system provides automated alarming and analysis, which requires minimal support and helps keep engineering support costs to a minimum. The Integrated Condition Moni

Key Takeaways

Industry: Metals & Mining.

Evidence for NCIG's Predictive Maintenance deployment

Reported outcome metrics
Not reported by source
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Details

AI Technology
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Company
NCIG

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