Vessel operators are testing artificial intelligence, algorithms and remote monitoring to optimise maintenance, extend equipment life and minimise downtime Developments in artificial intelligence (AI), machine learning, algorithms and remote monitoring are driving vessel owners to invest in technology to optimise maintenance. Some operators are developing technology with engine manufacturers (OEMs) and others with technology specialists. This enables owners to adopt condition-based maintenance (CBM) and predictive maintenance strategies to minimise equipment failure and reduce repair costs by recognising and dealing with issues early. NYK Group is an early adopter of CBM technology which it is developing and testing with classification society ClassNK and technology suppliers MTI Co, Japan Engine Corp and Mitsubishi Heavy Industries. Within this joint industry project, engine conditions will be continuously monitored using sensors installed on large main engines and steam turbines, and sensors will also report bearing vibration and temperature. Data will be streamed from ship to shore and shared between partners, who will analyse this information to predict remaining useful lif...