35 research outputs found
A Methodology for the Diagnostic of Aircraft Engine Based on Indicators Aggregation
Full text linkAircraft engine manufacturers collect large amount of engine related data
during flights. These data are used to detect anomalies in the engines in order
to help companies optimize their maintenance costs. This article introduces and
studies a generic methodology that allows one to build automatic early signs of
anomaly detection in a way that is understandable by human operators who make
the final maintenance decision. The main idea of the method is to generate a
very large number of binary indicators based on parametric anomaly scores
designed by experts, complemented by simple aggregations of those scores. The
best indicators are selected via a classical forward scheme, leading to a much
reduced number of indicators that are tuned to a data set. We illustrate the
interest of the method on simulated data which contain realistic early signs of
anomalies.Comment: Proceedings of the 14th Industrial Conference, ICDM 2014, St.
Petersburg : Russian Federation (2014
Cyclability evaluation on Si based Negative Electrode in Lithium ion Battery by Graphite Phase Evolution: an operando X-ray diffraction study
No full textComparison of Cardiopulmonary Function and Elbow Muscle Strength according to Difference Levels of Spinal Cord Injury and Type of Sports in National Athletes with Spinal Cord Injury
No full textCrystal growth, structure, and electronic band structure of tetracene-TCNQ
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Effects of a wheelchair ergometer training programme on spinal cord-injured persons
No full textThe objective of this article is to investigate the effects of an original interval-training programme on work capacity
and cardiorespiratory variables with spinal cord-injured persons (SCIP’s) on a wheelchair-specific ergometer
EDTA-Fe(III) sodium complex–derived bubble-like nitrogen-enriched highly graphitic carbon nanospheres as anodes with high specific capacity for lithium-ion batteries
No full textDesign of Nanostructured Hybrid Materials Based on Carbon and Metal Oxides for Li Ion Batteries
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