Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Nassia Daouayry"'
Autor:
Nassia Daouayry, Pierre-Loic Maisonneuve, Vasile-Marian Scuturici, Jean-Marc Petit, Ammar Mechouche, Marie Le Guilly
Publikováno v:
New Trends in Databases and Information Systems
ADBIS-24th European Conference on Advances in Databases and Information Systems
ADBIS-24th European Conference on Advances in Databases and Information Systems, Aug 2020, Lyon, France. ⟨10.1007/978-3-030-54623-6_4⟩
Communications in Computer and Information Science ISBN: 9783030546229
ADBIS (Short Papers)
ADBIS-24th European Conference on Advances in Databases and Information Systems
ADBIS-24th European Conference on Advances in Databases and Information Systems, Aug 2020, Lyon, France. ⟨10.1007/978-3-030-54623-6_4⟩
Communications in Computer and Information Science ISBN: 9783030546229
ADBIS (Short Papers)
International audience; For helicopters, anticipating failures is crucial. To this end, the analysis of flight data allows to develop predictive maintenance approaches , for which Airbus Helicopters (AH) has proposed several solutions , some based on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffb29373165a1f3b163d901dfe956769
https://hal.archives-ouvertes.fr/hal-02933410
https://hal.archives-ouvertes.fr/hal-02933410
Autor:
Jean-Marc Petit, Vasile-Marian Scuturici, Ammar Mechouche, Nassia Daouayry, Pierre-Loic Maisonneuve
Publikováno v:
IEEE BigData
This paper presents a virtual sensor for helicopter Main Gear Box (MGB) oil pressure. It is developed for anticipating failures of systems related to MGB lubrication.The virtual sensor is built using Machine Learning and massive in-service flight dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8475041334fa21549848a3802a951c6
https://doi.org/10.1109/bigdata47090.2019.9006532
https://doi.org/10.1109/bigdata47090.2019.9006532
