Search Results - "Lacaille, Jérôme"

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…”
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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…”
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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…”
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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…”
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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…”
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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…”
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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…”
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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…”
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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…”
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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…”
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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…”
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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…”
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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…”
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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…”
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Visual mining and statistics for a turbofan engine fleet by Lacaille, J, Come, E

“…Snecma, as a turbofan manufacturer, needs to deal with a wide fleet of more than thousands of engines. Every day, data from aircraft engines are broadcasted to…”
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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…”
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A Survey and Implementation of Performance Metrics for Self-Organized Maps by Forest, Florent, Lebbah, Mustapha, Azzag, Hanane, Lacaille, Jérôme

“…Self-Organizing Map algorithms have been used for almost 40 years across various application domains such as biology, geology, healthcare, industry and…”
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Anomaly Detection for Bivariate Signals by Cottrell, Marie, Faure, Cynthia, Lacaille, Jérôme, Olteanu, Madalina

“…Rojas I., Joya G., Catala A. (eds). Advances in Computational Intelligence, part 1, IWANN 2019, vol 11506, Springer, Cham, pp.162-173, 2019, Lecture Notes in…”
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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…”
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Selecting the Number of Clusters $K$ with a Stability Trade-off: an Internal Validation Criterion by Mourer, Alex, Forest, Florent, Lebbah, Mustapha, Azzag, Hanane, Lacaille, Jérôme

“…Model selection is a major challenge in non-parametric clustering. There is no universally admitted way to evaluate clustering results for the obvious reason…”
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