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Jerome Lacaille
Jerome Lacaille
Safran Aircraft Engines
Verified email at safrangroup.com - Homepage
Title
Cited by
Cited by
Year
Fault prediction in aircraft engines using self-organizing maps
M Cottrell, P Gaubert, C Eloy, D François, G Hallaux, J Lacaille, ...
International workshop on self-organizing maps, 37-44, 2009
652009
Aircraft engine health monitoring using self-organizing maps
E Côme, M Cottrell, M Verleysen, J Lacaille
Industrial conference on data mining, 405-417, 2010
462010
Standardized failure signature for a turbofan engine
J Lacaille
2009 IEEE Aerospace conference, 1-8, 2009
422009
Deep embedded self-organizing maps for joint representation learning and topology-preserving clustering
F Forest, M Lebbah, H Azzag, J Lacaille
Neural Computing and Applications 33 (24), 17439-17469, 2021
322021
Detection of anomalies in an aircraft engine
J Lacaille, RN Djiki
US Patent 8,744,813, 2014
312014
Model-based clustering of high-dimensional data streams with online mixture of probabilistic PCA
A Bellas, C Bouveyron, M Cottrell, J Lacaille
Advances in Data Analysis and Classification 7 (3), 281-300, 2013
272013
Expertise transfer and automatic failure classification for the engine start capability system
X Flandrois, J Lacaille, JR Masse, A Ausloos
AIAA Infotech@ Aerospace Conference and AIAA Unmanned... Unlimited …, 2009
272009
Visual mining and statistics for a turbofan engine fleet
J Lacaille, E Côme
2011 Aerospace Conference, 1-8, 2011
262011
Global predictive monitoring system for a manufacturing facility
JHN Lacaille
US Patent 7,894,926, 2011
262011
A survey and implementation of performance metrics for self-organized maps
F Forest, M Lebbah, H Azzag, J Lacaille
arXiv preprint arXiv:2011.05847, 2020
252020
Using self-organizing maps for clustering anc labelling aircraft engine data phases
C Faure, M Olteanu, JM Bardet, J Lacaille
2017 12th international workshop on self-organizing maps and learning vector …, 2017
242017
Monitoring of an aircraft engine for anticipating maintenance operations
JHN Lacaille
US Patent 9,176,926, 2015
232015
Deep architectures for joint clustering and visualization with self-organizing maps
F Forest, M Lebbah, H Azzag, J Lacaille
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 105-116, 2019
222019
Aircraft engine fleet monitoring using self-organizing maps and edit distance
E Côme, M Cottrell, M Verleysen, J Lacaille
International Workshop on Self-Organizing Maps, 298-307, 2011
222011
Deep embedded SOM: joint representation learning and self-organization
F Forest, M Lebbah, H Azzag, J Lacaille
reconstruction 500, 500, 2000
222000
Identifying failures in an aeroengine
J Lacaille
US Patent 8,682,616, 2014
212014
A generic and scalable pipeline for large-scale analytics of continuous aircraft engine data
F Forest, J Lacaille, M Lebbah, H Azzag
2018 ieee international conference on big data (big data), 1918-1924, 2018
202018
An unsupervised diagnosis for process tool fault detection: The flexible golden pattern
JÉÔ Lacaille, M Zagrebnov
IEEE Transactions on Semiconductor Manufacturing 20 (4), 355-363, 2007
202007
Anomaly detection based on confidence intervals using SOM with an application to Health Monitoring
A Bellas, C Bouveyron, M Cottrell, J Lacaille
Advances in Self-Organizing Maps and Learning Vector Quantization …, 2014
192014
Trajectory clustering for vibration detection in aircraft engines
A Hazan, M Verleysen, M Cottrell, J Lacaille
Industrial conference on data mining, 362-375, 2010
192010
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