From our experience we estimate that on average, 80% of data generated from oil sample reports are not fully utilised.  That’s remarkable.  Imagine your doctor not assessing 80% of the data generated from your blood tests? That would have a real impact on your health, especially if your GP only focused on the critical results and not the long-term indicators of health like cholesterol. 

Now take that analogy and apply it to your mining equipment. It raises questions as to what to do with all of that data from oil sample reports that contains the full story of the condition and health of your equipment. It’s no secret that many equipment owners and maintainers will respond to ‘critical’ and ‘abnormal’ lab evaluations first, as they resolve short term issues and prevent immediate failures.  This leaves the ‘normal’ evaluations that potentially hold a lot more information that can be used to increase reliability and prevent unexpected downtime in the future.  But the problem most maintenance teams face is finding the time to evaluate the ‘normal’ data to integrate actionable tasks into their maintenance program.  Hence, we find that 80% of the data produced from the reports is not attended to. There is a great opportunity to improve reliability simply by fully utilising all the useful data contained in the reports.  So how do you find the useful data?

An experienced and skilled Condition Monitoring Specialist or Maintenance Manager can certainly pore over the results of an oil sample report and delve into the detail, however, there are numerous reasons this is not efficient.  It’s time consuming, expensive, transactional, and laborious. There wouldn’t be a mine GM who would be happy for their team to be reviewing oil samples on a full-time basis. These skilled professionals should be using all the reliability data at their disposal to identify business improvement projects that increase reliability and reduce maintenance and repair costs.  This leaves Maintenance teams in a ‘catch twenty-two’ position. Thoroughly review the reports to interpret and understand the evaluations to be in a proactive maintenance position; or continue doing what they are doing and keep being reactive.

Relialytics address this challenge with the ‘Equipment Condition Supervisor’ (ECS). The application has been developed with algorithms working within an extensive database containing over 20 years of data interpretation and past actions. ECS instantaneously reviews your oil sample reports and develops a list of recommended actions based on experience, precedents, and data matching. These actions can be uploaded into your CMMS for your review and approval. From there it becomes part of your maintenance workflow where you are utilising all of the relevant data. The outcome is increased planned work and reduced downtime and greater reliability in the short and long term.

If you feel your site could be getting more value from your reports, get in touch and we’ll help you improve your reliability and condition monitoring.