Oleum Oracle®
Measurements made:
- Insolubles (%) – Total insoluble and soot content in oil
- TAN (mgKOH/g) – Measurement of Acid content in oil
- TBN (mgKOH/g) – Measurement of Alkaline reserve in oil
- Viscosity (cSt) – Resistance to flow
- Iron Content (ppm) – Measure of Iron due to corrosion and abrasion
- Additive Depletion – Remaining life of oil
- Fuel Dilution – Fuel ingress in lubrication system
These parameters capture three failure modes:
- Contamination
- Degradation
- Wear
Benefits
Speed
- Real-time lube oil analysis
Convenience
- On board/onsite measurements
- Data integration with existing maintenance system
Actionable Insights
- Lube oil condition trending
- Identify three failure mode of degradation, contamination, and wear
- Early diagnosis of engine deterioration
Functionality
- Enable condition-based maintenance (CbM) and predictive maintenance (PdM)
- Avoid sample cross contamination associated with sending samples to labs.
Environmental Impact
- Lowers carbon footprint by 70% compared to traditional send-sample-to-laboratory approach
- Reduced sample and solvent use by 98%
Key Features
- Semi-automation and digitisation of the oil condition monitoring process
- Real-time actionable machine condition insights for real- time decision making
- Cloud analytics platform for remote data visualisation and predictive analysis
- Microlitre volume of sample and solvents
- Field deployable portable instrument
How It Works
Comparison With Lab Analysis
Marine Vessel Case Study
The results of a case study where we monitor two main diesel engines in a marine vessel, shows Oleum Oracle® can track the change in components of the engines over their time of operation.
Oleum Oracle® monitored the portside and starboard 4-stroke engines of a marine vessel in over 430 hours of vessel operation and revealed issues with sudden acid enrichment in the portside engine compared to the starboard engine (see graph above).
These kind of data are illuminating to engineers and asset managers. Reliability engineers can begin to change the way they manage and operate their machinery in real-time. For instance, in this case study, the engineer can switch operation to the starboard engine while investigating the portside engine to avoid a catastrophic failure. Also, maintenance can then be planned in advance of this developing fault.