Application of Predictive Maintenance Techniques for Large Electric Mining Shovels – Preprint 97-205

Society for Mining, Metallurgy & Exploration
Michael Lenz
Organization:
Society for Mining, Metallurgy & Exploration
Pages:
10
File Size:
1512 KB
Publication Date:
Feb 24, 1997

Abstract

Predictive maintenance technologies including vibration analysis, tribology, infrared thermography, ultrasonic detection, and electrical measurements have been applied to large electric mining shovels. The predictive program was initiated on the P&H Model 2300 and 4100 electric shovels. The utilization of these technologies has shown the potential for improving electric mining shovel availability and minimizing maintenance costs. Predictive technologies provide the tools to assess machinery condition. Availability is enhanced by the condition based planning of component replacement. Maintenance costs are minimized by focusing resources through condition based prioritization.
Citation

APA: Michael Lenz  (1997)  Application of Predictive Maintenance Techniques for Large Electric Mining Shovels – Preprint 97-205

MLA: Michael Lenz Application of Predictive Maintenance Techniques for Large Electric Mining Shovels – Preprint 97-205. Society for Mining, Metallurgy & Exploration, 1997.

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