Development of Statistical and Data-Driven Models for Anomaly Detection and Quality Control Improvement Based on Heterogeneous Industrial Data in Medical Device Manufacturing
Authors
M. Batton-Hubert
Liseth V. Pasaguayo (ORCID: https://orcid.org/0000-0002-8260-9519)
Olivier Boissier
Institutions
Mines Saint-Étienne (FR)
Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes (FR)
Laboratoire Génie Industriel (FR)
Publication Details
Journal
SPIRE - Sciences Po Institutional REpository
Published
2026-02-26
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
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article
Development of Statistical and Data-Driven Models for Anomaly Detection and Quality Control Improvement Based on Heterogeneous Industrial Data in Medical Device Manufacturing
M. Batton-Hubert, Liseth V. Pasaguayo, Olivier Boissier
Journal
SPIRE - Sciences Po Institutional REpository
Topics
Fault Detection and Control Systems
article
Development of Statistical and Data-Driven Models for Anomaly Detection and Quality Control Improvement Based on Heterogeneous Industrial Data in Medical Device Manufacturing
M. Batton-Hubert, Liseth V. Pasaguayo, Olivier Boissier
article en
Abstract
No abstract available for this paper.
Publication Tag
SPIRE - Sciences Po Institutional REpository
Institutions
Mines Saint-Étienne (FR), Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes (FR), Laboratoire Génie Industriel (FR)
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Development of Statistical and Data-Driven Models for Anomaly Detection and Quality Control Improvement Based on Heterogeneous Industrial Data in Medical Device Manufacturing — M. Batton-Hubert, Liseth V. Pasaguayo, et al. · SPIRE - Sciences Po Institutional REpository (2026) | TGRS Research Map | TGRS