Part of the Condition Monitoring platform

PredictiveMaintenance forCritical VesselEquipment

Maximize Uptime. Eliminate Surprises. Gelectric's Condition Monitoring suite brings AI-driven foresight to maritime operations, even in the most remote environments.

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Modern engine room with high-tech sensors

Live Engine Health

98.4% Efficiency Detected

Efficiency Framework

The Shift to Predictive Performance

Reactive Maintenance

High emergency repair costs and freight delays.
Unexpected downtime during critical operations.
Shortened equipment lifecycle due to over-stress.

Predictive Maintenance

Recommended

Actionable alerts 2-4 weeks before failure.
Optimized spare parts inventory management.
Automated reporting for insurance and compliance.

Core Technology

Advanced Monitoring Methodology

Integrated sensor networks that translate raw physical data into operational intelligence.

Vibration Analysis

Continuous spectral analysis of rotating equipment to detect misalignment, imbalance, and bearing wear at the earliest stage.

Thermal Imaging

Integrated infrared sensors identify hotspots in electrical panels and mechanical joints before they lead to thermal runaway.

AI Anomaly Detection

Proprietary machine learning models that differentiate between normal operational variations and critical failure signatures.

Connectivity First

Edge Computing: Resilience in Isolation

Vessels often operate in areas with limited or no satellite coverage. Gelectric's edge processing keeps data integrity and real-time alerts operational even without a cloud connection.

Local processing of multi-TB sensor streams

Automatic cloud-sync upon reconnection

Secure on-site data encryption

0ms

Latency at the edge

100%

Offline availability

Encrypted

Onboard data

Smart

Bandwidth throttled

Asset Library