Search Results - "Lacaille, Jerome"

Trusting Machine-Learning Applications in Aeronautics by Benmeziane, Karim, Fabiani, Patrick, Herbin, Stephane, Lacaille, Jerome, Ledinot, Emmanuel

“…A general recommendation from the French office for aeronautical and space standardization (BNAE) is being drawn up by experts from Onera, Thales, Dassault and…”
Get full text

An Invariance-guided Stability Criterion for Time Series Clustering Validation by Forest, Florent, Mourer, Alex, Lebbah, Mustapha, Azzag, Hanane, Lacaille, Jerome

“…Time series clustering is a challenging task due to the specificities of this type of data. Temporal correlation and invariance to transformations such as…”
Get full text

Robust monitoring of turbofan sensors by Lacaille, Jerome

“…Bench development tests of new turbofan engines make an important use of sensor measurements to help engineers understand the behavior of new components…”
Get full text

Sequential indexation of flight data by Lacaille, Jerame, Faure, Cynthia, Olteanu, Madalina

“…With the accessibility of more and more aeronautic data opens the possibility to analyze an engine state on line. Today we just begin to implement datalakes…”
Get full text

Model-based clustering of high-dimensional data streams with online mixture of probabilistic PCA by Bellas, Anastasios, Bouveyron, Charles, Cottrell, Marie, Lacaille, Jérôme

“…Model-based clustering is a popular tool which is renowned for its probabilistic foundations and its flexibility. However, model-based clustering techniques…”
Get full text

Validation of health-monitoring algorithms for civil aircraft engines by Lacaille, Jerome

“…Snecma builds CFM engines with GE for commercial aircrafts and now faces with the challenge of providing assistance to the maintenance operations of its wide…”
Get full text

Validation environment of engine health monitoring algorithms by Lacaille, J.

“…Writing algorithms for turbofan engine health monitoring (HM or EHM) is a complex process which begins from system analysis to code writing, embedding and…”
Get full text

Indexation of numeric bench test records a big data vision by Lacaille, Jerome, Bense, William, Berechet, Ion, Berechet, Stephan, Faure, Cynthia

“…Every day, new engine configurations or engine parts are tested in Snecma's test benches. During each test, up to two thousand sensors capture every bit of…”
Get full text

Deep embedded self-organizing maps for joint representation learning and topology-preserving clustering by Forest, Florent, Lebbah, Mustapha, Azzag, Hanene, Lacaille, Jérôme

“…A recent research area in unsupervised learning is the combination of representation learning with deep neural networks and data clustering. The success of…”
Get full text

One-Pass Generation of Multivariate Time Series through Conditional Multivariate Modeling by Madane, Abdellah, Forest, Florent, Azzag, Hanane, Lebbah, Mustapha, Lacaille, Jerome

“…In recent years, exploring deep generative models for generating time series has garnered significant interest within the research community. These models have…”
Get full text

A Trend Monitoring Diagnostic Algorithm for Automatic Pre-identification of Turbofan Engines Anomaly by Lacaille, Jerome, Rabenoro, Tsirizo

“…Each day a medium range aircraft schedules almost ten flights. During those flights each aircraft may send data to the ground via a satellite communication…”
Get full text

Anomaly detection based on indicators aggregation by Rabenoro, Tsirizo, Lacaille, Jerome, Cottrell, Marie, Rossi, Fabrice

“…Automatic anomaly detection is a major issue in various areas. Beyond mere detection, the identification of the source of the problem that produced the anomaly…”
Get full text

An Unsupervised Diagnosis for Process Tool Fault Detection: The Flexible Golden Pattern by Lacaille, J., Zagrebnov, M.

“…The flexible golden pattern (FGP) algorithm uses a patented technology of empirical scoring to detect abnormal behavior for semiconductor processing equipment…”
Get full text

Synchronization of Multivariate Captors with an Autoadaptive Neural Method by Lacaille, Jérôme

“…Before any multivariate analysis scheme (using typicaly simultaneous measurements) it is useful to readjust in time each measurement so that each one refer to…”
Get full text

Datamining turbofan engine performance to improve fuel efficiency by Loro, Maria Navas, Lacaille, Jerome

“…Snecma as major engine manufacturer is often asked by its airline customers to help them improve their efficiency in the operation of the engines. The main…”
Get full text

Emergent Decision Reports Using a Fusion Protocol: A Mathematic Solution to Help Decision Making by Lacaille, Jerome

“…For manufacturers either monitoring or production optimization systems are founded on specific algorithms that produce low level local information about risk…”
Get full text

Transformer-based conditional generative adversarial network for multivariate time series generation by Madane, Abdellah, Dilmi, Mohamed-djallel, Forest, Florent, Azzag, Hanane, Lebbah, Mustapha, Lacaille, Jerome

“…Conditional generation of time-dependent data is a task that has much interest, whether for data augmentation, scenario simulation, completing missing data, or…”
Get full text

A Generic and Scalable Pipeline for Large-Scale Analytics of Continuous Aircraft Engine Data by Forest, Florent, Lacaille, Jerome, Lebbah, Mustapha, Azzag, Hanene

“…A major application of data analytics for aircraft engine manufacturers is engine health monitoring, which consists in improving availability and operation of…”
Get full text

Data mining turbofan engine performance to improve fuel efficiency by Lacaille, Jerome, Loro, Maria Navas

“…The main concern for airlines is fuel consumption but also a long-term expectancy about the engine cost during its full life. This includes maintenance…”
Get full text

Standardized failure signature for a turbofan engine by Lacaille, J.

“…The capacity to master engines behavior is fundamental for a manufacturer to prove its efficiency in conception and maintenance capability. This understanding…”
Get full text