Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Ivo Paixao de Medeiros"'
Autor:
Cairo L. Nascimento, Shankar Sankararaman, Helmut Prendinger, Ivo Paixao de Medeiros, Elsa Henriques, Márcia Baptista
Publikováno v:
Computers & Industrial Engineering. 115:41-53
Presently, time-based airline maintenance scheduling does not take fault predictions into account, but happens at fixed time-intervals. This may result in unnecessary maintenance interventions and also in situations where components are not taken out
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb88dd8cc200439c47537335df1422f0
https://doi.org/10.1016/j.cie.2017.10.033
https://doi.org/10.1016/j.cie.2017.10.033
Autor:
Cairo L. Nascimento, Elsa Henriques, Helmut Prendinger, Ivo Paixao de Medeiros, Joao P. Malere, Márcia Baptista
Publikováno v:
Computers in Industry. 86:1-14
Prognostics are a key activity in repair and maintenance operations. A recent approach to condition-based maintenance is the data-driven approach. This approach has been mostly based on past failure time measures, and sensed measurements of component
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8dea8c0b99b434eb8db5239d038298e3
https://doi.org/10.1016/j.compind.2016.12.008
https://doi.org/10.1016/j.compind.2016.12.008
Publikováno v:
Annual Conference of the PHM Society. 11
Neural networks in their many flavors have been widely used in prognostics of engineered systems due to their versatility and increasing potential, especially with recent breakthroughs in Deep Learning and specialized architectures. Despite these adv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72ea34d353bae50355af0f1605590f41
https://doi.org/10.36001/phmconf.2019.v11i1.786
https://doi.org/10.36001/phmconf.2019.v11i1.786
Autor:
Felipe Ferri, Ivo Paixao de Medeiros, Roberto Kawakami Harrop Galvão, Cairo Lucio Nascimento Junior, João P. P. Gomes, Leonardo Ramos Rodrigues
Publikováno v:
IEEE Systems Journal. 9:1197-1207
Remaining useful life (RUL) estimations obtained from a prognostics and health monitoring (PHM) system can be used to plan in advance for the repair of components before a failure occurs. However, when system architecture is not taken into account, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d0762382f614c608151886b6ad20616
https://doi.org/10.1109/jsyst.2014.2343752
https://doi.org/10.1109/jsyst.2014.2343752
Autor:
Ivo Paixao de Medeiros, Elsa Henriques, Márcia Baptista, Helmut Prendinger, Cairo L. Nascimento, Joao P. Malere
Publikováno v:
2017 IEEE Aerospace Conference.
The implementation of condition-based maintenance continues to face several challenges especially in the aeronautics field. While it is true that time-based maintenance dominates the industry today, it is believed that condition monitoring could yiel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8dc61a0c0b1bc3e985529136bae730e6
https://doi.org/10.1109/aero.2017.7943870
https://doi.org/10.1109/aero.2017.7943870
Publikováno v:
SysCon
Since maintenance planning directly affect the availability and the lifecycle cost of components and systems, it has become a topic of great interest among researchers and industry practitioners in recent years. Preventive maintenance techniques can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5cf521cfc9936a373f4d937a5a2ed7eb
https://doi.org/10.1109/syscon.2015.7116746
https://doi.org/10.1109/syscon.2015.7116746
Autor:
Leonardo Ramos Rodrigues, Elcio Hideiti Shiguemori, Christian Strottmann Kern, Ivo Paixao de Medeiros, Rafael Santos
Publikováno v:
SysCon
PHM (Prognostics and Health Monitoring) can be defined as the capability of assessing the health condition, forecasting impending failures and the expected RUL (Remaining Useful Life) of a component based on a set of measurements collected from syste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa603487f4f632ea3eed6cbfe62e265b
https://doi.org/10.1109/syscon.2015.7116749
https://doi.org/10.1109/syscon.2015.7116749
Publikováno v:
SysCon
Predicting an aircraft's Estimated Time of Arrival (ETA) while enroute can be a challenging endeavor. The great number of factors that can affect a flight's punctuality range from things well under the pilot's control, such as flight level and cruise
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7bcdfbaf1d47e77a0df2502090e1bec
https://doi.org/10.1109/syscon.2015.7116837
https://doi.org/10.1109/syscon.2015.7116837
Autor:
Wlamir Olivares Loesch Vianna, Joao P. Malere, Bernardo Santos Aflalo, Leonardo Ramos Rodrigues, Ivo Paixao de Medeiros
Publikováno v:
2014 International Conference on Prognostics and Health Management.
This paper describes the application of the PHM concept to assess the State of Health (SoH) of a Proton Exchange Membrane Fuel Cell (PEMFC) as part of the IEEE PHM 2014 Data Challenge. Two regression approaches are used as health monitoring algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37137bcc31ceca49bec1d98dd734e2d8
https://doi.org/10.1109/icphm.2014.7036404
https://doi.org/10.1109/icphm.2014.7036404
Autor:
Ivo Paixao de Medeiros, Rafael L. Paes
Publikováno v:
Convergence and Hybrid Information Technology ISBN: 9783642326912
ICHIT (2)
ICHIT (2)
An artificial neural network whose topology is informed by an Oblique Decision Tree is applied to target detection in maritime Synthetic Aperture Radar. The number of neurons in the first layer is the same as the number of decision tree nodes and the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06ba26f02c3cdcb0cdd11c0870321ea6
https://doi.org/10.1007/978-3-642-32692-9_17
https://doi.org/10.1007/978-3-642-32692-9_17
