HEAVY MINING EQUIPMENT

Mining and Mineral Processing

The Challenge

Maximising the productivity of large mobile plant equipment was a critical performance criteria for a large mining operation.

The Solution

Intelligent Oil Condition Monitoring deliver a measurable improvement in equipment active operating time.

Oil Quality Sensor (OQSx) were fitted to the Gearbox, Engines and Hydraulic Systems of a total of 36 large plant machines such as Rock Crushers, Excavators and Dump trucks.

Operator alert display units (Oil Quality, OQDe) were fitted in the cabs of each vehicle to provide immediate conditions alerts, whilst data was also streamed back to the maintenance depot where it was used to predict optimal services schedules.

The customer benefited from reduced servicing through being able to maximize the true life of their oil, coupled with reduced equipment wear associated issues.

Tan Delta Oil Quality Sensor

Benefits

Reduced serving through being able to maximize the true life of their oil, and extended the running hours of site critical machinery.

HIGHLIGHTS

Cost Effective

Oil consumption was reduced by over 19% as the sensor showed oil was being replaced when still viable

Reduced Waste

Oil disposal cost were dramatically reduced due to fewer oil changes.

Improved Maintenance Schedules

Equipment failure cost were reduced due to improved maintenance schedules and auditing of correct procedures through analysis of the sensor data

Prevent Catastrophic Failure

Contamination which could have caused serious damage was immediately identified by the sensor allowing instant remedial action.

COMMERCIAL BENEFIT

The site has reduced their annual expenditure on oil consumption alone by over R5m ($360k) thanks to Tan Delta Oil Condition Monitoring products.

To see how we can assist you in saving money, please call Lourens Janse Van Rensburg on +27 (0) 79 512 8027 or alternatively via email, lourens-cisindustrial@outloo.com. Or visit our website:https://cisindustrialservices.com

Plant Uptime • Plant Safety • Asset Reliability