Case Studies

Below are some recent case studies that provide examples of the value that Asset Intelligence has helped create for ship owners, managers and operators. Asset Intelligence has saved our customers hundreds of thousands of dollars in fuel, energy, downtime and repairs.


Asset Intelligence helped identify a faulty fuel injector for a main engine for an Offshore Supply Vessel (OSV). This was identified using Asset Intelligence to assess the difference in exhaust temperatures between cylinder banks at different operating modes. This diagnosis was confirmed and a simple repair saved ~5% in fuel consumption at idle speed and prevented a potential future failure that could have cost $750,000 in downtime and repairs. Contact us to learn more.


Remote experts used Asset Intelligence to identify an exhaust manifold issue to prevent a costly engine failure and excess energy consumption. Asset Intelligence analytics identified a high variance in exhaust gas temperature, coupled with a larger than expected difference in air manifold pressure. An expert quickly identified the root cause as either an exhaust manifold leak or a seized open bypass valve. The chief engineer was alerted and addressed the problem.


Asset Intelligence analytics identified high fluctuations in fuel inlet pressure for an auxiliary engine on a container ship. A quick review by the Asset Intelligence team identified the likely problem being a fuel dampener out of adjustment and provided the reference documentation for the ship’s crew to adjust the dampener. If this was not addressed, the fluctuating fuel inlet pressure could have masked much more serious issues such as clogged fuel filters, rack misalignment, or loss of load.


A Navy destroyer was preparing for an extended deployment when the Asset Intelligence team was able to initially analyze its equipment. A generator was observed to have a similar anomaly during start-up as a recently failed generator for a sister ship. Combining the Asset Intelligence team analytics and expert review, with an in-person follow-up identified the issue and addressed the issue prior to deployment. This prevented a catastrophic failure during deployment and the corresponding expediting and repair costs to deal with this issue in a remote area.


On a large cargo ship, Asset Intelligence identified persistent fuel oil inlet temperature spikes, not identified during periodic logs recorded by ship’s crew or monitoring system. Providing fuel at an increased temperature reduces the viscosity of the fuel and the capability to lubricate, increasing the potential for damage to the injection components. As well, the heightened fuel temperature reduces the engine power and thus the fuel performance of the engine. Crew was notified and inspected alignment of fuel oil heater and corrected.


A container ship operating between the US and South America has a large refrigerated cargo requirement, and thus a highly variable electrical load to support. Asset Intelligence analytics enabled identification of the optimal auxiliary engine/generator combinations for each electrical load level. This incorporated the actual performance of the generators on this specific ship, not just guidance from the manufacturer’s technical documentation. By operating the most fuel-efficient generator combination for a particular electrical load, the vessel could save up to $100 per hour in fuel costs, which equals hundreds of thousands of dollars per year for this ship alone.


A reverse osmosis water purification plant onboard a Navy destroyer was found to have overly fouled membranes, months ahead of scheduled replacement. This was identified using Asset Intelligence analytics looking at the relationship between the inlet and outlet membrane pressures compared with the generation plant performance. Replacing the membranes early returned a 400% return on investment by consuming less energy to make fresh water. if not addressed, this issue would have resulted in lower water production, potentially putting operational capability at risk and excess wear and tear on the system, increasing likelihood of accelerated failure.