I²R Techs & Solutions

Predictive Maintenance for Marine Asset Health Diagnostics and Prognostics

In challenging marine environments, marine assets experience accelerated deterioration, often leading to the need for replacement in the future. However, spare parts are frequently not readily available, complicating maintenance and repair efforts.

Early intervention with Predictive Maintenance

A*STAR I²R’s suite of asset health diagnostics and prognostics capabilities is tailored for marine assets equipped with time-series sensors. anomaly detection, analysis and root cause prediction, these solutions enable the early detection of failures and the prediction of component health, empowering operators to intervene proactively and avoid disruptions to vessel services.

A*STAR I²R boasts of strong capabilities and experience in the following: 

  • Anomaly detection using multi-variate time-series sensor data
  • Learning with less data
  • Lifelong Learning and Domain adaptation with streaming data
  • Root Cause Prediction
Collaborations with industry partners
Earlier, we developed and validated predictive solutions with several industry partners including original equipment manufacturers (OEMs), maintenance repair and overhauling organisation (MRO) as well as leading airlines.
Recently, under the Maritime AI Research Programme, we started developing predictive maintenance solutions tailored specifically for marine engines and other vital assets.

Expanding Applications Beyond Marine Assets

The use of asset health diagnostics and prognostics capabilities extends beyond marine assets, with potential applications in port terminal operations, marine services, and shipyard operations. By advocating proactive, data-driven approaches to asset management, maintenance, and regulatory compliance, we aim to drive efficiency and safety across the maritime sector.