Funding for condition based maintenance

Propulsion Analytics’ analysis method uses a combination of process simulation models and data-driven models to provide a reference point for a powerplant’s operating condition which, when compared to the actual data, can diagnose and predict engine component malfunctions and spot decreasing performance.

“Currently, less than 2% of the world fleet employs a CBM arrangement but in the next ten years we expect that 10% of the world’s fleet will use performance optimisation tools and CBM methods,” said Efstratios Tzanos, general manager of Propulsion Analytics.

“Ship performance evaluation, incorporating efficiency optimisation and improved maintenance scheduling can result in significant cost reductions for ship owners and operators,” he added.

DNV is developing a verification, validation and accreditation methodology to assess CBM applications which aims to significantly enhance the validity and trustworthiness of CBM approaches.

“CBM holds the promise of safer, more reliable and competitive operation of maritime assets,” said Dr George Dimopoulos, head of R&D and advisory DNV – Region South East Europe, Middle East & Africa. “In this project we are aiming straight for the heart of seagoing vessels – the marine engine,” he added.