The NYK Group has concluded a joint research agreement for developing advanced condition-based maintenance (CBM) for ship machinery, which will eventually assist in developing a CBM to realise autonomous manned vessels.
Alongside MTI, Class NK, Japan Engine Corporation, and Mitsubishi Heavy Industries Marine Machinery & Equipment, NYK will assess machinery plant data from sensors.
In accordance with recent developments in information and communication technology, large amounts of data can be transmitted between ship and shore. The NYK Group has utilised these advancements to focus on CBM and conduct research on optimal maintenance.
In addition to SIMS2, a ship information management system developed by NYK and MTI, a new sensor and equipment has been installed in two different types of main engine and main steam turbine, and detailed operational data such as vibration and temperature of bearing will be collected. The condition of the engine will then be shared and constantly monitored by the classification society and engine manufacturers.
The projects will also work to make failure predictions and remaining useful life (RUL) for the engine by taking advantage of manufacturer expertise to create optimal CBM guidelines and then verify them on actual ships.
The NYK Group will improve the accuracy of failure predictions and RUL. In the future, the Group will develop more advanced CBM that enables continuous monitoring of the condition through artificial intelligence, and then realisation of further optimal maintenance by combining information such as operational schedules.