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JAPANESE CBM PROJECT RESULTS IN UPDATED CLASSNK GUIDELINES

JAPANESE CBM PROJECT RESULTS IN UPDATED CLASSNK GUIDELINES

Tuesday, May 25, 2021 

A collaborative research project undertaken by Japan Engine Corporation (J-Eng), ClassNK, MTI and NYK has resulted in the publication of new ClassNK guidelines for condition based maintenance (CBM) for main diesel engines.

According to J-Eng, in the shipping industry, Time-Based Maintenance (TBM) is usually practiced, but TBM requires a vessel to halt operations for a few weeks of inspections every two or three years even if no fatigue or breakdown of the engine is observed. Moreover, unexpected failures can occur during voyages and can cause long delays. With recent developments in information and communication technology, large amounts of data can now be transmitted between ship and shore, so in November 2019, J-Eng began the joint research with NYK, MTI, together with ClassNK on using CBM to optimise maintenance.

The Guidelines for Selection of Target Equipment and Methods for CBM and Maintenance developed through the joint research have now been adopted in CBM Guidelines (Edition2.0), recently published by ClassNK. The guidelines explain how to ensure safety and the cost effectiveness of introducing CBM from three perspectives:

  • Concerned Machinery and Equipment for Condition Based Maintenance;
  • Condition Based Maintenance Methods; and
  • Considerations when Adopting a CBM Survey Scheme.

As a result of the joint research, J-Eng also verified a main bearing simulator device for condition-monitoring that can acquire detailed bearing-temperature data to evaluate the bearing damage degree. J-Eng has developed this main bearing monitoring system to share the bearing data and navigation data in real time among the shipping company, classification society and engine manufacturer by installing the sensors on the bearings of ships' large diesel engines.

The system will be installed on an NYK-owned coal carrier Noshiro Maru, and in the future NYK plans to apply for a CBM-operation certification.

J-Eng says it plans to continue its R&D into CBM-management methods with its partners with the aim of developing an autonomous next-generation CBM in the future, one in which AI (artificial intelligence) constantly monitors the status of engine plants and determines the timing of maintenance by making use of information such as operating schedules. The next generation CBM will achieve highly-automated and autonomous vessel operation, in line with NYK's aims. In addition, by applying the condition-monitoring technology established in the next-generation CBM, J-Eng hopes to advance the manned autonomous ships concept through automation of ship management using IoT and AI technologies.

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