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

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

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 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

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 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

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.

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

By understanding injector failure modes, we can better prepare maintenance plans and correlate the observed failures with oil analysis results. Utilizing LogiLube’s patented SmartOil® G3 Edge-AI Brain™ powering Autonomous Fluid Intelligence™, we can continuously monitor the engine oil condition and determine if intervention is required. Having a high fidelity, real-time, continuous data set correlated to actual operational activities can also help to determine the remaining-u

In heavy-duty diesel engines, failed fuel injectors are often the starting point for a much larger chain of destructive events. Across locomotive fleets, mining haul trucks, underground mining equipment, drilling machines, marine engines, and stationary power systems, injector degradation remains one of the leading contributors to fuel dilution, thermal stress, piston damage, and catastrophic engine failures. Understanding how we can prevent their failures are of utmost impor