

Adaptive Micro-Dosing: Real-Time Diesel Fuel Anti-Gel Conditioning
Several hours before the train reaches the Alberta cold front, the Edge-AI Brain identifies a rapidly decreasing fuel operability margin. Based on the locomotive's current GPS location, projected route, expected fuel temperature, and forecast ambient conditions, the proprietary predictive algorithm determines that the existing fuel blend may become susceptible to wax formation. Before fuel operability is compromised, the SmartFuel G3 DOSE™ module automatically meters a precis


Diesel Fuel Winterization: Challenges of Toronto-Vancouver Route for CNR
As the train proceeds westward, weather systems intensify across Alberta, producing extreme cold conditions capable of causing paraffin wax crystals to form within the diesel fuel. As wax crystallization progresses, fuel viscosity increases and the crystals begin accumulating on the fuel filter media. Differential pressure across the filters rises, restricting fuel flow to the engine. Left unchecked, the restriction can starve the high-pressure fuel system, resulting in loss


SmartOil G3 ENG™: Exception Sampling™
Through exception sampling, the Edge-AI Brain™ can detect small changes in the viscosity or dielectric to trigger an oil sample to be sent off to the lab for confirmation per industry recognized ASTM methods. By this continuous monitoring generating over 1 million data points per each measured attribute, it becomes easier to trend these elevations or decreases in viscosity over time and correlate these to environmental conditions. When there are many safety risks involved, i


Consequence Amplification: Same Injector Reliability. Different Architecture. Very Different Outcomes.
Reliability statistics paired with operational sensitivity can provide a better picture of the state of the equipment compared to looking at the MTBF in isolation. With smaller MTBFs, there should be continuous monitoring of the oil to determine if the levels of fuel contamination are being exceeded below the projected MTBF values. This is where the Autonomous Fluid Intelligence™ utilizing the SmartOil® G3 Edge-AI Brain™ really changes the game for operators. Even with smalle


Understanding Power Imbalance from a Single Injector Failure
One fuel injector failure does not have the same consequences as applied to different engines in different environments. The smaller the engine (less cylinders), the larger the impact of one damaged fuel injector (16.7% loss of power) compared to the impact of one damaged fuel injector for a larger engine (only 5% loss of power). While the numbers may seem small for the loss of power, they have a significant effect on the delays in production, loss of operational hours and sa


Exception Sampling™: Event Capture Visualization
Exception sampling is the real game changer as the SmartOil® G3 Edge-AI Brain™ can determine if there are slight changes in the health of the fluid and instruct the system to take a sample at that exact point of the operation. The reason this helps is that it can also be correlated to a particular environmental condition for that application and this learning can be applied across the fleet. As such, if we realize that excessive idling of 75% leads to an increase in fuel dilu


SmartOil G3 Artic Series: Fit for Alberta Oil Sands
Whether your mining fleet is in the Pilbara iron ore region of the Australian Outback of the frozen oil sands of Alberta Canada, the SmartOil G3 hardware is built for both weather extremes. From billet machined stainless steel manifolds, to seals rated to -40˚C, and to electronic circuit boards built to U.S. MIL standards, we have you covered.


The Future of Diesel Engine Reliability: Autonomous Fluid Intelligence™
The future of diesel engine reliability may depend on Autonomous Fluid Intelligence™, systems capable of continuously monitoring lubricant and fuel condition, identifying emerging anomalies, predicting remaining useful life, and autonomously responding before catastrophic failures occur. SmartOil® developed an advanced G3 Edge-AI Brain™ that continuously monitors the condition of the engine oil detecting anomalies in advance of a potential catastrophic engine failure. As such


SmartOil G3 Edge-AI Brain™ System Architecture
Through Autonomous Fluid Intelligence™ powered by SmartOil’s G3 Edge-AI Brain™, oil systems can be continuously monitored and an oil sample autonomously triggered following a parameter change. The G3 Edge-AI Brain™ has been engineered to continuously monitor viscosity trends, dielectric behavior, fuel contamination indicators and use AI to detect anomalies and detect early-stage injector deterioration before major operational disruption occurs.


P-F Interval: Diesel Engine Oil
Depending on the oil viscosity parameters initially programmed during SmartOil® commissioning (upper/lower control limits, rate of change), proprietary algorithms processed by the G3 Edge-AI Brain™ can detect a lubricant condition anomaly very early. The SmartOil® G3 Edge-AI Brain™ can autonomously trigger an Exception-Sample™ to capture a forensic-grade, ASTM-ready oil sample that can reveal abnormal changes in viscosity per ASTM D445. A rapid shift in the oil viscosity coul






















