Data-centric Maintenance and Operational Knowledge and Its Impact on Classification

The monitoring of machinery condition, performance, and maintenance activities continues to be vital to the effective management of marine assets. Identifying key data, developing a data collection protocol, and analyzing the data are key to effective management. Planning for these activities should rely on risk and reliability techniques. Integrating data collection with the vessel’s or asset’s control and monitoring systems can reduce crew burden and simplify an often complex puzzle of qualifying and analyzing condition and performance data into a standardized process for maintenance planning and decision making related to asset operations. The information gathered from these processes can create a knowledge loop that, when implemented in an enterprise asset management (EAM) strategy, can improve current operational execution and influence the next generation of marine asset designs. Classification societies can apply this information for effective surveys and Rules improvement.