Stress monitoring of Underground Load Haul Dumper Front Axle with Intelligent Indices

Maintenance of mining machinery is done by schedule or in the event of break down and this is area where it is possible to cut down in maintenance costs by lowering down time and preventing sudden break downs. Advanced on site signal processing enables early fault detection and improves maintenance planning by optimizing service intervals. This paper studies the stress affecting the load haul dumper front axle. Methods used are stress indices and cumulative stress analysis.