ClassNK joint R&D project to create new engine CBM methods

ClassNK reports that it has concluded a joint research agreement to develop a new condition-based maintenance (CBM) process for engine machinery plants, which will also establish an updated classification survey scheme based on CBM.

The joint research project involved real-time sharing of data on engine conditions, acquired from sources such as the SIMS2 system developed by NYK Group, as well as newly installed sensors on participating vessels’ main engines.

The project will leverage input from engine manufacturers to make failure predictions and remaining useful life (RUL) predictions for shipboard equipment, creating optimal CBM guidelines for verification on ships during real-life operations.

ClassNK says that it hopes to apply the results of the joint research project in establishing a new classification survey scheme based on CBM.

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About the Author

Rob O'Dwyer
Rob O'Dwyer

Rob is Chief Network Officer and one of the founders of Smart Maritime Network. He has worked in the maritime technology sector since 2005, managing editorial for a range of leading publications in the transport and logistics sector. Get in touch by email at rob.odwyer(at)smartmaritimenetwork.com, or on LinkedIn by clicking here.

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