This paper presents a method for predicting highfrequency behavior of rotating electrical machines. An approach using the Finite Elements (FE) method coupled with a circuit simulator is utilized to obtain the machine common-mode and differential-mode impedances over the frequency range of interest. The machine geometry, winding configuration and material characteristics are the input for the proposed process. 2D electrostatic FE simulation is used to obtain the capacitive couplings while a magnetodynamic FE approach is used to obtain the frequency-dependent resistances and inductances. These parameters are used in an equivalent circuit that represents the machine stator winding layout. A Permanent Magnet Synchronous Machine (PMSM) is used as a case study machine to implement the method. The agreement between the simulated model and experimental results is presented assessing the accuracy of the method.

This paper presents and validates a method for early estimation of the high-frequency impedance response for a real Permanent Magnet Synchronous Machine (PMSM). The main contribution of this work lays on the simplicity of the data required to tackle the prediction, which do not require any experimental tuning or 3D simulations. The required inputs for the method are the 2D cross-section of the machine and the material characteristics of the conductors, insulation and iron laminations. An approach using the Finite Element Method (FEM) coupled with a circuit simulator is utilized to obtain the machine common-mode and differential-mode impedances over a broad frequency range. Experimental measurements are performed up to the resonance band to validate the methodology. In addition, the influence of the machine rotor and housing on the impedance curves is experimentally assessed. A machine with concentrated winding is used as a case study machine to test the model.

Parasitic capacitive couplings in the machine slots act as an undesired leakage current path. This paper presents a method to compute lumped capacitance values and their distribution through 2D electrostatic finite-element simulation. The method is applied to a real machine slot with double layer. Turn-to-iron and inter-turn capacitive couplings show that negligible values appear between distant turns and turns not facing the slot walls and the iron. This reduction of the matrix size can be exploited on further high-frequency equivalent circuit representation. In addition, the influence of the insulation geometry and characteristics is studied.

Fault diagnosis techniques applied to synchronous motors such as Permanent Magnet Synchronous Machines (PMSMs) and Synchronous Reluctance Machines (SynRMs) are scarcely addressed in the literature, in strong contrast to the attention paid to asynchronous motors. In addition, the most widespread techniques are those based on steady-state condition analysis, and little attention is paid to detection during transient operation. The present paper aims to identify research gaps on the topic and to demonstrate the potential of transient analysis. First, the different diagnostic methodologies in literature are thoroughly analyzed. Then, two laboratory case studies are presented to demonstrate the potential of fault detection under non-stationary conditions for a PMSM and a SynRM. Stator current analysis is performed by building time–frequency maps to analyze the evolution of different fault indicators. The results show clear differences between healthy and faulty conditions during the transient regime.