Netværk for Skibsteknik – Vessel Intelligence and Automation - ONLINE

Improved performance and maintenance of vessels is possible through advanced analytics and preventive maintenance.

Learn more at this webinar, with some examples and principles of digitization of the operation and maintenance.

Acoustic sensors in diesel engines.

Digital ship operation of engine and equipment performance.

Programme

16:00-16:05
Welcome by organizers.

by Skibsteknisk Selskab Peter Blach, Maskinmestrenes Forening, Alexander Bjørn Kleiman, DBI and Niels Tingleff Haastrup, Fredericia Maskinmesterskole

16:05-16:40
An RCM approach for assessing reliability challenges and maintenance needs of unmanned cargo ships.

by Stig Eriksen, SDU, University of Southern Denmark and Svendborg International Maritime Academy

Unmanned autonomous cargo ships may change the maritime industry, but there are issues regarding the reliability and maintenance of machinery equipment that are yet to be solved. This presentation examines the applicability of the Reliability Centered Maintenance (RCM) method for assessing maintenance needs and reliability issues on un-manned cargo ships.

16:40-17:15
Engine and Equipment Performance Analytics
by Niels G.M. Rytter, Head of Section, Associate Professor, SDU Engineering Operations Management, University of Southern Denmark

Niels G. M. Rytter will present the work performed in ShippingLab to improve performance and uptime for engines as well as cost-efficient maintenance and spare parts planning through advanced analytics and condition based / preventive maintenance.

Elaborate description of the project: Ship operators’ efficiency suffers because of sub-optimal performance of machinery and equipment and increased costs of maintenance.

Currently, ship operators do not have access to models, which can predict deterioration of performance or failure of parts in equipment and thereby support better maintenance planning for ship operators / owners and help equipment manufacturers in spare parts planning.

Equipment manufacturers also have limited visibility of on-board vessel conditions, the maintenance schedules on the ships, breakdown history etc., which limit their ability to improve prediction, reliability, and performance of their equipment, while minimizing the costs of ensuring uptime of equipment through maintenance and spare parts planning.

The Shippinglab WP1-3 project aims at developing and validating prototype models for engine performance monitoring and diagnostics using a set of available operational data sources well as providing a set of guidelines on how shipping companies can digitalize and improve their maintenance planning and spare parts logistics further.

17:15-17:30
Discussion and closure.

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