The EBSF_2 innovative predictive maintenance system for buses

A case study to synergetically improve operational and environmental bus performance

Maria Vittoria Corazza

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Dept. of Civil Engineering,

Sapienza University of Rome

Rome, Italy

mariavittoria.corazza@uniroma1.it

Daniela Vasari

Pluservice srl

Senigallia, Italy

d.vasari@pluservice.net

Silvia Magnalardo

Pluservice srl

Senigallia, Italy

s.magnalardo@pluservice.net

Enrico Petracci

Pluservice srl

Senigallia, Italy

e.petracci@pluservice.net

Michele Tozzi

UITP - International Association of Public Transport

Brussels, Belgium

m.tozzi@uitp.org

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European Space Agency

→ Kick-Start ActivityPredictive Maintenance

https://business.esa.int/funding/invitation-to-tender/predictive-maintenance-kick-start

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Webinar-26 November2019, 15:00 CET

Norbert Hübner -Norbert.Huebner@esa.int

Antje Vogel -Antje.Vogel@esa.int

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→ FUNDING & SUPPORT OF SPACE ENABLED PREDICTIVE

MAINTENANCE SERVICES

Funding up to €60K per Activity

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Opening date: 09/12/2019

Closing date: 31/01/2020

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Operations & Maintenance Best Practices Release 3.0

A Guide to Achieving Operational Efficiency

August 2010

O&M Best Practices - A Guide to

Achieving Operational Efficiency

(Release 2.0)

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GP Sullivan AP Melendez

R Pugh WD Hunt

July 2004

Prepared for the U.S. Department of Energy

under Contract DE-AC05-76RL01830

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Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions

MartinW. Ho mann 1,* , Stephan Wildermuth 1, Ralf Gitzel 1, Aydin Boyaci 1,

Jörg Gebhardt 1 , Holger Kaul 1, Ido Amihai 1, Bodo Forg 2, Michael Suriyah 3,

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Thomas Leibfried 3, Volker Stich 4, Jan Hicking 4, Martin Bremer 4, Lars Kaminski 4,

Daniel Beverungen 5, Philipp zur Heiden 5 and Tanja Tornede

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