Pubblicazioni

Versione: 1.1 Approvato

LDO-ID 2017-09-14-01

Titolo Big Data Analytics to predict system’s behavior: the RaaS (Radar as a Service) Concept

Abstract

Predictive Maintenance (PM) is a type of preventive maintenance carried out on the basis of mathematical models processing Big Data from sensors’ measures. This is of paramount importance at sea, where opportunities for repairing are intrinsically limited and frequently hampered by bad weather conditions. This is also essential to plan actions at the right time avoiding costly corrective maintenance and guaranteeing longer lifecycles, increased safety and business continuity, also helping improving ship energy efficiency. Leonardo’s project ‘Radar as a Service’ (RaaS) is a Big Data-enabled Proof of Concept (PoC) of PM on a terrestrial radar. The PoC demonstrates PM’s real benefits both in the short term and in the medium-long term. Further implementations in the naval environment could extend RaaS capabilities and PM concepts to other complex systems, such as ship borne radars, equipment, plants and installations

Autori Garibbo Alessandro, Boccola Enrico, Caminale Gianfranco, Paccoia Luigia

Tipologia Paper for Seminar/Symposium/Conference

Media ICCAS 2017 - International Conference on Computer Applications in Shipbuilding (26-28 September 2017, Singapore, Singapore)

Sito web

Anno 2017