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Wärtsilä reports that it has signed two lifecycle agreements covering two ferries owned by Japanese operator Shin Nihonkai Ferry Co., Ltd (SNF). The vessels are each powered by four Wärtsilä 31 engines.
By Will Roberts, CEO, ioCurrents Rather than succumbing to sci-fi notions of AI dominance, ioCurrents focuses on leveraging human intelligence to create advanced machine learning models. Founded on the belief that collaboration
By Jeremy Hermanns, Co-Founder and CEO of DockWorks Empty shelves and ships stuck outside busy American ports made it common knowledge among even those people not familiar with the maritime industry that
The AssetAI predictive maintenance solution developed by Singapore-headquartered Alpha Ori Technologies (AOT) has been granted ClassNK’s Innovation Endorsement for Products & Solutions. ClassNK launched Innovation Endorsement in July 2020 as a rapid
Japanese shipping giant Nippon Yusen Kaisha (NYK) and its affiliated Monohakobi Technology Institute (MTI) have signed an optimized maintenance agreement under which they will evaluate Wärtsilä’s Expert Insight predictive maintenance service for
Wärtsilä has signed two long-term optimized maintenance agreements with Japan based NYK LNG Ship Management. The 15-year agreements, which took effect fom January 2021, cover the Wärtsilä 50DF dual-fuel engines and other
ABS and Chevron Shipping Company LLC have taken the first step in an ambitious digital fleet management project. The Suezmax lightering vessel Pegasus Voyager has become the first vessel in the Chevron
Wärtsilä’s digital predictive maintenance product, Expert Insight, originally launched in November 2019 for four-stroke engines, has now been extended to support two-stroke engines. It is available in combination with Wärtsilä’s Lifecycle Solutions
An advanced and sophisticated algorithm based on a physical and data driven engine model promises to enhance predictive maintenance for marine two-stroke engines. It has been developed by Swiss technical university ETH
