Nadine MARTIN
Directeur de Recherche CNRS
Equipe Signal et Automatique pour la surveIllance,le diaGnostic et la biomecAnique
Département Images et Signal
ME CONTACTER / CONTACT ME
Mail : nadine.martin@gipsa-lab.grenoble-inp.fr

11 rue des mathématiques
Domaine Universitaire
BP 46
38402 Saint Martin d'Hères cedex

Bureau D1196
Tél.33 (0)4 76 82 62 69
Fax : 33 (0)4 76 57 47 90
PUBLICATIONS RECENTES / RECENT PUBLICATIONS
Les derniéres publications de la collection Gipsa dans HAL

Estimating the Rotational Synchronous Component from Instantaneous Angular Speed Signals in Variable Speed Conditions

Guillaume Bruand, Florent Chatelain, Pierre Granjon, Nadine Martin, Christophe Duret, et al.. Estimating the Rotational Synchronous Component from Instantaneous Angular Speed Signals in Variable Speed Conditions. International Conference on CONDITION MONITORING OF MACHINERY IN NON-STATIONARY OPERATIONS, Jun 2018, Santander, Spain. 2018. 〈hal-01761532〉

Automatic Data-Driven Spectral Analysis Based on a Multi-Estimator Approach

Nadine Martin, Corinne Mailhes. Automatic Data-Driven Spectral Analysis Based on a Multi-Estimator Approach. Signal Processing, Elsevier, 2018, 〈10.1016/j.sigpro.2017.12.024〉. 〈hal-01677964〉

Caractérisation et auralisation de la contribution du rail dans le bruit ferroviaire

Abbès Kacem, Julien Maillard, Baldrik Faure, Nadine Martin. Caractérisation et auralisation de la contribution du rail dans le bruit ferroviaire. 14ème Congrès Français d'Acoustique, Apr 2018, Le Havre, France. 2018. 〈hal-01761490〉

AStrion assets for the detection of a main bearing failure in an onshore wind turbine

Xavier Laval, Guanghan Song, Zhong-Yang Li, Pascal Bellemain, Maxime Lefray, et al.. AStrion assets for the detection of a main bearing failure in an onshore wind turbine. 13th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies (CM2016/MFPT2016), Oct 2016, Paris, France. 〈hal-01399027v2〉

Vibration condition monitoring in a paper industrial plant: Supreme project

Mario Eltabach, Sophie Sieg-Zieba, Guanghan Song, Zhongyang Li, Pascal Bellemain, et al.. Vibration condition monitoring in a paper industrial plant: Supreme project. 13th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies (CM2016/MFPT2016), Oct 2016, Paris, France. 〈hal-01399036〉

Invited overview Keynote address, Signal processing for condition monitoring: exciting challenges ahead

Nadine Martin. Invited overview Keynote address, Signal processing for condition monitoring: exciting challenges ahead. First World Congress on Condition Monitoring, Jun 2016, London, United Kingdom. 〈hal-01644301〉

AStrion strategy: from acquisition to diagnosis - Application to wind turbine monitoring

Zhong-Yang Li, Timothée Gerber, Marcin Firla, Pascal Bellemain, Nadine Martin, et al.. AStrion strategy: from acquisition to diagnosis - Application to wind turbine monitoring. The International Journal of Condition Monitoring, the British Institute of Non-Destructive Testing, 2016, 6 (2), pp.47-54. 〈hal-01399043〉

An automatic approach towards modal parameter estimation for high-rise buildings of multicomponent signals under ambient excitations via filter-free Random Decrement Technique

Fatima Nasser, Zhongyang Li, Nadine Martin, Philippe Gueguen. An automatic approach towards modal parameter estimation for high-rise buildings of multicomponent signals under ambient excitations via filter-free Random Decrement Technique. Mechanical Systems and Signal Processing, Elsevier, 2016, 70-71, 〈10.1016/j.ymssp.2015.08.008〉. 〈hal-01233152〉

Automatic Characteristic Frequency Association and All-Sideband Demodulation for Detection of a Bearing Fault of a Test Rig

Marcin Firla, Zhong-Yang Li, Nadine Martin, Christian Pachaud, Tomasz Barszcz. Automatic Characteristic Frequency Association and All-Sideband Demodulation for Detection of a Bearing Fault of a Test Rig. Mechanical Systems and Signal Processing, Elsevier, 2016, 〈10.1016/j.ymssp.2016.04.036〉. 〈hal-01314866〉

Frequency and damping ratio assessment of high-rise buildings using an Automatic Model-Based Approach applied to real-world ambient vibration recordings

Fatima Nasser, Zhongyang Li, Philippe Gueguen, Nadine Martin. Frequency and damping ratio assessment of high-rise buildings using an Automatic Model-Based Approach applied to real-world ambient vibration recordings. Mechanical Systems and Signal Processing, Elsevier, 2016, 75, pp.196-208. 〈10.1016/j.ymssp.2015.12.022〉. 〈hal-01319880〉

ENCADREMENT DE THESES / PhD THESIS SUPERVISED

Grenoble Images Parole Signal Automatique laboratoire

UMR 5216 CNRS - Grenoble INP - Université Joseph Fourier - Université Stendhal