In industry, the predictive maintenance has become a strategic concept. Economic interest of on-line diagnosis of faults in electric machines gave rise to various researches in that field. This paper proposes a local approach to tackle the problem of breaking bars and end-rings of squirrel cage in induction machines based mainly on the signature of the local variables, such as the normal flux density. This allows a finer analysis, by use of a finite element based simulation
This paper is a synthesis of various research work performed on innovative structures for electrical machines (EM) responding to new performance requirements and applications. A presentation of the various statistical applications of EM will be made with various criteria. It will establish an initial comparison between the possibilities of both types of machines, namely the permanent magnet synchronous machine (PMSM) and switched reluctance machine (SRM), since more competing by conventional machines such as induction machines. It will be completed by a performance comparison study using a torque density criterion. Finally, an analytical-numerical method for PMSM and SRM structures design will be proposed.
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