J. Lacaille

发表

An Influence Gauge to Detect and Explain Relations between Measurements and a Performance Indicator

J. Lacaille, 2015 .

Indexation of Bench Test and Flight Data

Jean-Marc Bardet, Madalina Olteanu, J. Lacaille, 2016 .

Wear Prognostic on Turbofan Engines

J. Lacaille, Aurélie Gouby, Olivier Piol, 2013 .

A Methodology for the Diagnostic of Aircraft Engine Based on Indicators Aggregation pdf

Fabrice Rossi, Marie Cottrell, Jérôme Lacaille, 2014, ICDM.

Transformer-based conditional generative adversarial network for multivariate time series generation

M. Lebbah, J. Lacaille, Abdellah Madane, 2022, ArXiv.

Corrosion Risk Estimation and Cause Analysis on Turbine Stator Blades of Turbofan Engine

J. Lacaille, Raphael Langhendries, 2022 .

Model-based clustering of high-dimensional data streams with online mixture of probabilistic PCA

C. Bouveyron, M. Cottrell, J. Lacaille, 2013, Advances in Data Analysis and Classification.

Automatic detection of rare observations during production tests using statistical models

Marie Chavent, Madalina Olteanu, Jérôme Lacaille, 2020 .

Selecting the Number of Clusters K with a Stability Trade-off: an Internal Validation Criterion

M. Lebbah, J. Lacaille, Florent Forest, 2020, ArXiv.

Extreme value statistics for vibration spectra outlier detection

Kurosh Madani, Jérôme Lacaille, Aurélien Hazan, 2012 .

Probabilistic outlier detection in vibration spectra with small learning dataset

Michel Verleysen, Kurosh Madani, Marie Cottrell, 2012 .

AN OVERVIEW OF PARAMETRIC METHODS FOR NON-STATIONARY RANDOM VIBRATION MODELING AND IDENTIFICATION SURVEILLANCE METHOD CURRENT RESULTS AND FUTURE DEVELOPMENT VIBRATIONS CAUSED BY TRANSVERSE ANNULAR IN ALGORITHMS: APPLICATION THE EFFECTS OF TEMPERATURE OUTLIER IN VIBRATION

Miguel A. Ferrer, J. B. Alonso, J. Antoni, 2014 .

An Automatic Sensor Fault Detection and Correction Algorithm

Jérôme Lacaille, Rond-Point René Ravaud, J. Lacaille, 2009 .

Expertise Transfer and Automatic Failure Classification for the Engine Start Capability System

Xavier Flandrois, Jerome Lacaille, Jean-Remi Masse, 2009 .

Standardized failure signature for a turbofan engine

Jerome Lacaille, J. Lacaille, 2009, 2009 IEEE Aerospace conference.

An Unsupervised Diagnosis for Process Tool Fault Detection: The Flexible Golden Pattern

J. Lacaille, M. Zagrebnov, J. Lacaille, 2007, IEEE Transactions on Semiconductor Manufacturing.

Validation of health-monitoring algorithms for civil aircraft engines

Jerome Lacaille, J. Lacaille, 2010, 2010 IEEE Aerospace Conference.

AN AUTOADAPTIVE NEURALMETHOD TO SYNCHRONIZE MULTIVARIATE CAPTORS

J. Lacaille, 2007 .

Synchronization of Multivariate Captors with an Autoadaptive Neural Method

Jérôme Lacaille, J. Lacaille, 1998, J. Intell. Robotic Syst..

Anomaly Detection Based on Confidence Intervals Using SOM with an Application to Health Monitoring

Charles Bouveyron, Marie Cottrell, Jérôme Lacaille, 2015, WSOM.

Bayesian inference for outlier detection in vibration spectra with small learning dataset

Michel Verleysen, Marie Cottrell, Jérôme Lacaille, 2011 .

A Survey and Implementation of Performance Metrics for Self-Organized Maps pdf

Mustapha Lebbah, Florent Forest, J'erome Lacaille, 2020, ArXiv.

Large-scale Vibration Monitoring of Aircraft Engines from Operational Data using Self-organized Models

Mustapha Lebbah, Jérôme Lacaille, Florent Forest, 2020 .

Selecting the Number of Clusters K with a Stability Trade-off: an Internal Validation Criterion

M. Lebbah, J. Lacaille, Florent Forest, 2020, PAKDD.

Linear smoothing of FRF for aicraft engine vibration monitoring

Michel Verleysen, Marie Cottrell, Jérôme Lacaille, 2010 .

Trajectory Clustering for Vibration Detection in Aircraft Engines

Michel Verleysen, Marie Cottrell, Jérôme Lacaille, 2010, ICDM.

Data mining of flight measurements

Rond-Point René Ravaud, N. Seichepine, J. Ricordeau, 2011 .

Fault Prediction in Aircraft Engines Using Self-Organizing Maps

Michel Verleysen, Marie Cottrell, Patrice Gaubert, 2009, WSOM.

Model-based clustering of high-dimensional data streams with online mixture of probabilistic PCA

Charles Bouveyron, Marie Cottrell, Jérôme Lacaille, 2013, Advances in Data Analysis and Classification.

A Generic and Scalable Pipeline for Large-Scale Analytics of Continuous Aircraft Engine Data

Mustapha Lebbah, Jérôme Lacaille, Hanene Azzag, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Aircraft Engine Health Monitoring Using Self-Organizing Maps

Michel Verleysen, Marie Cottrell, Jérôme Lacaille, 2010, ICDM.

Deep embedded self-organizing maps for joint representation learning and topology-preserving clustering

Mustapha Lebbah, Jérôme Lacaille, Hanene Azzag, 2021, Neural Computing and Applications.

Deep Embedded SOM: joint representation learning and self-organization

Mustapha Lebbah, Hanene Azzag, Jérôme Lacaille, 2019, ESANN.

Anomaly Detection for Bivariate Signals

Madalina Olteanu, Marie Cottrell, Jérôme Lacaille, 2019, IWANN.

Anomaly detection based on indicators aggregation

Fabrice Rossi, Marie Cottrell, Jérôme Lacaille, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Anomaly Detection Based on Aggregation of Indicators

M. Cottrell, J. Lacaille, Tsirizo Rabenoro, 2014, 1407.0880.

Interpretable Aircraft Engine Diagnostic via Expert Indicator Aggregation

Fabrice Rossi, Marie Cottrell, Jérôme Lacaille, 2014, Trans. Mach. Learn. Data Min..

Robust monitoring of turbofan sensors

Jerome Lacaille, J. Lacaille, 2014, 2014 IEEE Aerospace Conference.

Aircraft Engine Fleet Monitoring Using Self-Organizing Maps and Edit Distance

Michel Verleysen, Marie Cottrell, Jérôme Lacaille, 2011, WSOM.

Visual mining and statistics for a turbofan engine fleet

E. Côme, J. Lacaille, 2011, 2011 Aerospace Conference.

A Trend Monitoring Diagnostic Algorithm for Automatic Pre-identification of Turbofan Engines Anomaly

Jérôme Lacaille, Tsirizo Rabenoro, J. Lacaille, 2018, 2018 Prognostics and System Health Management Conference (PHM-Chongqing).

Sequential indexation of flight data

Madalina Olteanu, Jérôme Lacaille, Cynthia Faure, 2018, 2018 IEEE Aerospace Conference.

relative data sharing system has of aircraft engines

Jerome Henri Noel Lacaille, J. Lacaille, 2015 .

Online Normalization Algorithm for Engine Turbofan Monitoring

Jérôme Lacaille, Anastasios Bellas, J. Lacaille, 2014 .

Validation environment of engine health monitoring algorithms

J. Lacaille, J. Lacaille, 2012, 2012 IEEE Aerospace Conference.

Specific Small Digital-Twin for Turbofan Engines

J. Lacaille, J. Lacaille, 2021 .

Engine Health Management in Safran Aircraft Engines

Guillaume Bastard, Yacine Stouky, Josselin Coupard, 2016 .

Self Organizing Star (SOS) for health monitoring

J. Lacaille, Etienne Côme, Marie Cottrell, 2010, ESANN.

An Adaptive Anomaly Detector used in Turbofan Test Cells

Jérôme Lacaille, Rafik Zouari, V. Gerez, 2010 .

A Maturation Environment to Develop and Manage Health Monitoring Algorithms

Jérôme Lacaille, J. Lacaille, 2009 .

An Invariance-guided Stability Criterion for Time Series Clustering Validation

Mustapha Lebbah, Jérôme Lacaille, Hanene Azzag, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Robust clustering of high-dimensional data

Charles Bouveyron, Marie Cottrell, Jérôme Lacaille, 2012, ESANN.