Mathieu Ritou

About Mathieu Ritou

Mathieu Ritou, With an exceptional h-index of 15 and a recent h-index of 12 (since 2020), a distinguished researcher at Université de Nantes, specializes in the field of smart manufacturing, monitoring, data mining, spindle dynamics, CFRP machining.

His recent articles reflect a diverse array of research interests and contributions to the field:

Method for estimating a residual stress field in a workpiece during machining and machining process using said method

Diagnosis of spindle failure by unsupervised machine learning from in-process monitoring data in machining

In process temperature and tool wear for the machining of aeronautic aluminum under different lubrication conditions

Contextual classification of chatter based on unsupervised machine learning

Digital twin of forged part to reduce distortion in machining

Development of On-Machine System for Measurement of Workpiece Substrate Properties and Topography

Modèle basé physique combiné à de l'IA pour la prédiction de déformations de pièces aéronautiques forgées

Iterative knowledge discovery for fault detection in manufacturing systems

Mathieu Ritou Information

University

Position

LS2N

Citations(all)

797

Citations(since 2020)

552

Cited By

404

hIndex(all)

15

hIndex(since 2020)

12

i10Index(all)

20

i10Index(since 2020)

15

Email

University Profile Page

Google Scholar

Mathieu Ritou Skills & Research Interests

smart manufacturing

monitoring

data mining

spindle dynamics

CFRP machining

Top articles of Mathieu Ritou

Method for estimating a residual stress field in a workpiece during machining and machining process using said method

2024/4/4

Diagnosis of spindle failure by unsupervised machine learning from in-process monitoring data in machining

The International Journal of Advanced Manufacturing Technology

2024/3

Mathieu Ritou
Mathieu Ritou

H-Index: 10

In process temperature and tool wear for the machining of aeronautic aluminum under different lubrication conditions

Machining Science and Technology

2023/9/3

Mathieu Ritou
Mathieu Ritou

H-Index: 10

Contextual classification of chatter based on unsupervised machine learning

Procedia CIRP

2023/1/1

Digital twin of forged part to reduce distortion in machining

CIRP Annals

2023/1/1

Mathieu Ritou
Mathieu Ritou

H-Index: 10

Development of On-Machine System for Measurement of Workpiece Substrate Properties and Topography

2022/11/28

Ashwani Pratap
Ashwani Pratap

H-Index: 6

Mathieu Ritou
Mathieu Ritou

H-Index: 10

Modèle basé physique combiné à de l'IA pour la prédiction de déformations de pièces aéronautiques forgées

2022/10/13

Mathieu Ritou
Mathieu Ritou

H-Index: 10

Iterative knowledge discovery for fault detection in manufacturing systems

Procedia Computer Science

2022/1/1

Philippe Leray
Philippe Leray

H-Index: 11

Mathieu Ritou
Mathieu Ritou

H-Index: 10

Numerical investigation and modeling of residual stress field variability impacting the machining deformations of forged part

Procedia CIRP

2022/1/1

Mathieu Ritou
Mathieu Ritou

H-Index: 10

Identification du contexte d’usinage basée sur le modèle de mélange gaussien: application au broutement

2021/6/10

A smart reporting framework as an application of multi-agent system in machining industry

International Journal of Computer Integrated Manufacturing

2021/5/4

Mathieu Ritou
Mathieu Ritou

H-Index: 10

Unsupervised condition monitoring with bayesian networks: an application on high speed machining

2021

Philippe Leray
Philippe Leray

H-Index: 11

Mathieu Ritou
Mathieu Ritou

H-Index: 10

Incremental discovery of new defects: application to screwing process monitoring

CIRP Annals

2021/1/1

Mathieu Ritou
Mathieu Ritou

H-Index: 10

Philippe Leray
Philippe Leray

H-Index: 11

A knowledge-based Digital Shadow for machining industry in a Digital Twin perspective

Journal of Manufacturing Systems

2021/1/1

Unsupervised co-training of Bayesian networks for condition prediction

2021/7/19

Philippe Leray
Philippe Leray

H-Index: 11

Mathieu Ritou
Mathieu Ritou

H-Index: 10

Contextual classification for smart machining based on unsupervised machine learning by Gaussian mixture model

International Journal of Computer Integrated Manufacturing

2020/11/1

See List of Professors in Mathieu Ritou University(Université de Nantes)

Co-Authors

academic-engine