Predictive Equipment Management
The Predictive Equipment Management tool utilises physics informed neural network technology to identify operational patterns in vessel machinery and pinpoint irregularities.
What To Expect
Minimise machinery breakdowns with early incident identification.
Predictively address equipment issues, streamline maintenance, and minimise repair costs.
Minimise downtime and lower operational costs.
Leverage timely maintenance to extend the life of components.
Ensure the reliability of critical systems to prevent damage.
Provide tailored help for varied vessels and equipment remotely.
Synthetica PEM Toolkit
Combine physics with neural networks
Tracks vessel behaviour and spots irregularities.
Connects with multiple sensors and data sources for holistic monitoring.
Forecasts equipment needs and adapts for proactive care.
Investigates issues, assesses failure probabilities, and prioritises maintenance.
Leverages large data pools from similar vessels for performance benchmarking.
Our Solution in Action
See how Synthetica PEM Transforms Vessel Operations
Recurring activation of the “M/E Alpha Lubricator” Alarm
