Monitoring of Three-Phase Signals based on Singular-Value Decomposition

Vincent Choqueuse, Pierre Granjon, Adel Belouchrani, François Auger, Mohamed Benbouzid. Monitoring of Three-Phase Signals based on Singular-Value Decomposition. IEEE Transactions on Smart Grid, Institute of Electrical and Electronics Engineers, In press, pp.1-1. ⟨10.1109/TSG.2019.2898118⟩. ⟨hal-02137323⟩

Comparison of electrical and vibration analysis methods for mechanical fault monitoring in wind turbine drivetrains

Pierre Granjon, Pedro Dias Longhitano, Arshpreet Singh. Comparison of electrical and vibration analysis methods for mechanical fault monitoring in wind turbine drivetrains. 15th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies (CM 2018/MFPT 2018), Sep 2018, Nottingham, United Kingdom. ⟨hal-01982739⟩

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 (CMMN0'2018), Jun 2018, Santander, Spain. ⟨hal-01761532⟩

Lithium-Ion battery state of health (SOH) analysis by entropymetry

Sohaïb El Outmani, Olivier Sename, Pierre Granjon, Rachid Yazami. Lithium-Ion battery state of health (SOH) analysis by entropymetry. Entropy 2018: From Physics to Information Sciences and Geometry, May 2018, Barcelone, Spain. ⟨hal-01875116⟩

Online state of health (SOH) assessment of LIB by entropymetry

Sohaïb El Outmani, Olivier Sename, Pierre Granjon, Rachid Yazami. Online state of health (SOH) assessment of LIB by entropymetry. 35th International Battery Seminar, Mar 2018, Fort Lauderdale, United States. ⟨hal-01982743⟩

Procédé d’estimation d’une impédance fréquentielle

Hélène Piret, Viviane Cattin, Pierre Granjon. Procédé d’estimation d’une impédance fréquentielle. France, N° de brevet: FR3053796. 2018. ⟨hal-02065368⟩

Estimation of geometric properties of three-component signals for system monitoring

Pierre Granjon, Gailene Shih-Lyn Phua. Estimation of geometric properties of three-component signals for system monitoring. Mechanical Systems and Signal Processing, Elsevier, 2017, 97, pp.95-111. ⟨10.1016/j.ymssp.2017.04.002⟩. ⟨hal-01551857⟩

Three-phase electrical signals analysis for mechanical faults monitoring in rotating machine systems

Georgia Cablea, Pierre Granjon, Christophe Bérenguer. Three-phase electrical signals analysis for mechanical faults monitoring in rotating machine systems. Mechanical Systems and Signal Processing, Elsevier, 2017, 92, pp.278-292. ⟨10.1016/j.ymssp.2017.01.030⟩. ⟨hal-01473564⟩

Bearing faults monitoring in electrical rotating machines through three-phase electrical signals analysis

Georgia Cablea, Pierre Granjon, Christophe Bérenguer. Bearing faults monitoring in electrical rotating machines through three-phase electrical signals analysis. 13th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies (CM2016/MFPT2016), Oct 2016, Paris, France. ⟨hal-01402872⟩

Online condition monitoring of wind turbines through three-phase electrical signature analysis

Georgia Cablea, Pierre Granjon, Christophe Bérenguer, Pascal Bellemain. Online condition monitoring of wind turbines through three-phase electrical signature analysis. The International Journal of Condition Monitoring, the British Institute of Non-Destructive Testing, 2016, 6 (3), pp.66-72. ⟨10.1784/204764216819708087⟩. ⟨hal-01540338⟩