NCIG implements a condition based maintenance solution
NCIG Terminal deployed AI for Predictive Maintenance in Metals & Mining. rockwellautomation.com reports no complete outcome metric.
What NCIG Terminal 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.
What NCIG Terminal 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.
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.
Key Takeaways
Deployed predictive maintenance solution in Metals & Mining sector.
Evidence for NCIG Terminal's Predictive Maintenance deployment
- Reported outcome metrics
- Not reported by source
- Cited source
- rockwellautomation.com
- Last updated
Explore Related
Vendor
Details
- Industry
- Metals & Mining
- Use Case
- Predictive Maintenance
- AI Technology
- Not available in record
- Company
- NCIG Terminal
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