WesTrac/AWS Predictive Maintenance using Oil Samples

WestTrac & Amazon Web Services

The current environment within the mining community is that of an appetite to utilize big data to improve efficiency and productivity and reduce costs. Predicting maintenance and equipment downtime events is critical to delivering on time maintenance and keeping critical equipment up and running in the field.  Currently WesTrac test, analyse, interpret and tracks thousands of oil samples from a wide variety of equipment at its Fluid Lab.

Equipment down time and failures accounts for $ billions of lost efficiencies at mining sites across Australia and the world.  Improving the oil analysis process and using new data analysis and predictive techniques to understand and solve failure events is key to reducing down time events.

The challenge will be how to improve the oil analysis interpretation process and utilise the oil sample test data set to better understand, track, and predict future maintenance events.