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

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