Sinokor Merchant Marine and HD Hyundai Marine Solution (HD HMS) have partnered with KR (Korean Register) to implement new condition-based maintenance (CBM) processes powered by artificial intelligence for vessels’ main engines and generators.
The project will deploy the CBM systems on two Sinokor container ships, one 1,800 TEU and one 8,000 TEU. Unlike traditional scheduled maintenance, the CBM process will be based on real-time monitoring of the equipment, triggering maintenance only when needed.
KR has been developing core technologies for fault diagnosis and prognosis over the last seven years, applying artificial intelligence (AI) to ship machinery such as engines, generators, pumps, and switchboards.
The class society says it has developed fault flowcharts based on analysis of the data collected from experimental failure scenarios, and developed AI models and Machine Learning Operations (MLOps) to support full-lifecycle technical services.
As part of this joint project, Sinokor will provide maintenance history data to power the AI models, while HD HMS will supply past operational data.
“By applying CBM technology to ship engine rooms, this joint development project will serve as a significant foundation for transforming vessel maintenance and collecting big data to advance smart shipping technology,” said Kim Dae Heon, Executive Vice President of KR’s R&D Division.
“Moving forward, KR plans to expand CBM applications to various ship equipment, including low-flashpoint fuel supply systems and batteries, creating comprehensive lifecycle technical services that will drive the future of maritime operations.”
