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NCIG implements a condition based maintenance solution

A documented Predictive Maintenance in Metals & Mining deployment at NCIG Terminal, with source-attributed results and missing evidence labelled explicitly.

Maintained by Peter Korpak, Founder & Chief AnalystHow evidence is checked

Evidence at a glance

Evidence status:
Automated evidence gate passed
Deployment timeframe:
Not reported by source
Reported outcome metrics:
Not reported by source
Directory entry published:

The source-link check confirms reachability, not independent re-verification of every claim.

The Challenge

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.

The Solution

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.

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Details

AI Technology
Not available in record
Evidence status
Automated evidence gate passed
Deployment timeframe
Not reported by source
Directory entry published

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