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Description
Propulsion Analytics is a producer of simulation models and machine learning for vessel/engine performance evaluation and fault diagnosis based in Greece.
The current level of condition monitoring within shipping is very variable and depends on ship type, age and components. In most cases, the processing of monitored data is carried out on the ships themselves. The difficulty of running such complex models and routines in the field, onboard and ashore has prompted Propulsion Analytics to develop the project CHEQUEMATE, that focuses on the diagnostics and prognostics core of vessel performance management. It consists in developing and implementing a novel Condition Based Maintenance (CBM) service, combining thermodynamic modelling and artificial intelligence for diagnosis of marine machinery system faults and prognosis of effective operation of marine engines.
A system for remote diagnostics and predictive maintenance in the marine industry may result in reduction of use for on-call service engineers and reduction in maintenance, through extended maintenance periods, and in associated costs. At the same time, increasing the safety for ship works dedicated to maintenance, and improve the reliability of the service.
Propulsion Analytics will partner with the Classification Society, DNV. They will develop a methodology for model verification and validation of the CBM methods. They will also be an advisor on matters concerning market and reliability issues and Remaining Useful Life assessment – calculating the amount of time a machine can operate before it requires maintenance or needs to be replaced.
Apart from the development of a new solution, Chequemate will lead to the creation of 2 new jobs and increased competitiveness of the company.
Summary of project results
One innovative technology/solution, a new Diagnostics & Prognostics method for main and auxiliary marine diesel engines performance evaluation to be applied as a full CBM service, was developed. The new CBM application was also pilot tested by shipping companies.
The profitability indicators will be measured next year.