Shipowners and managers will be able to detect vessel-performance anomalies with the next generation of internet-of-things (IoT) connectivity and analytics software. They can already detect anomalies in critical onboard equipment, including engines, pumps and compressors, using data analytics. However, a combination of machine learning, statistical modelling and analytics of a wide field of data sources from voyage and machinery information will expand this to cover the whole vessel, said Arundo Analytics vice president for strategic partnerships Martin Lundqvist.
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