Jean-Philippe Lecointe

TL;DR: In this article, a coupled analysis of the stray magnetic field and the external housing vibration of a synchronous machine is proposed to detect rotor short-circuit faults. But the experimental survey of stray magnetic fields and housing vibration spectrum is shown as a promising alternative at low cost and easy to implement and to determine, for instance, rotor turn-to-turn winding faults.

TL;DR: It is shown that with an appropriate development methodology and numerical implementation, semi-analytical subdomains modeling techniques to compute the flux density distribution in electrical machines by the exact solving of Maxwell equations break the traditional compromise between accuracy and computation time that must be done using finite element or other analytical methods.

TL;DR: An analytical method is proposed to distinguish the phenomenon responsible on the magnetic noise, especially the toothing and the saturation, and shows analytically that magnetic saturation is mainly responsible on these noise level.

TL;DR: It is shown that only noninvasive and online equipment can be used to diagnose SSGM and the viability of an operative wireless monitoring system on a 76-MW SSGM in an industrial environment is developed.

TL;DR: This paper describes the sensors used, how they should be placed around the machine in order to decouple the external field components generated by both the air gap flux and the winding end-windings, and a method to estimate the torque from theExternal field use.