G
Gerard Champenois
Researcher at University of Poitiers
Publications - 121
Citations - 2848
Gerard Champenois is an academic researcher from University of Poitiers. The author has contributed to research in topics: Stator & Permanent magnet synchronous generator. The author has an hindex of 21, co-authored 119 publications receiving 2520 citations. Previous affiliations of Gerard Champenois include French Institute of Petroleum & École nationale supérieure d'ingénieurs électriciens de Grenoble.
Papers
More filters
Journal ArticleDOI
An Improved Maximum Power Point Tracking for Photovoltaic Grid-Connected Inverter Based on Voltage-Oriented Control
TL;DR: An improved maximum power point tracking with better performance based on voltage-oriented control (VOC) is proposed to solve a fast-changing irradiation problem andSimulations and experimental results demonstrate that the proposed method provides effective, fast, and perfect tracking.
Journal ArticleDOI
Diagnosis by parameter estimation of stator and rotor faults occurring in induction machines
TL;DR: A new faulty model dedicated to broken rotor bars detection is proposed and the corresponding diagnosis procedure based on parameter estimation of the stator and rotor faulty model is proposed.
Journal ArticleDOI
Original article: Life cycle cost, embodied energy and loss of power supply probability for the optimal design of hybrid power systems
TL;DR: This methodology has been applied successfully for the sizing of a PV-wind-battery system to supply at least 95% of yearly total electric demand of a residential house and indicates that such a method, through its multitude Pareto front solutions, will help designers to take into consideration both economic and environmental aspects.
Journal ArticleDOI
An Effective Neural Approach for the Automatic Location of Stator Interturn Faults in Induction Motor
TL;DR: A neural approach to detect and locate automatically an interturn short-circuit fault in the stator windings of the induction machine by a feedforward multilayer-perceptron neural network trained by back propagation.
Journal ArticleDOI
Modeling of the photovoltaic cell circuit parameters for optimum connection model and real-time emulator with partial shadow conditions
Riad Kadri,Horia Andrei,Jean-Paul Gaubert,Traian Ivanovici,Gerard Champenois,Paul Cristian Andrei +5 more
TL;DR: In this paper, the performance of PV panel is analyzed, for parallel and series connections of solar cell elements exposed to the same light conditions and temperature by using the Brune's conditions of interconnection.