Title :
Survey of models and reference data for prediction of e.m. field emissions from electrical machinery
Author :
Mariscotti, A. ; Ogunsola, A. ; Sandrolini, L.
Author_Institution :
Dipt. di Ing. Navale ed Elettr., Univ. di Genova, Genova, Italy
Abstract :
This paper addresses the problem of robust and accepted methods for the estimation of electromagnetic emissions from electrical machinery and more extensively, Adjustable Speed Drives. Machine emissions can also be considered for diagnostic purposes. In particular, the analysis of the electromagnetic signature of the machine is used for the detection of partial short-circuits inside windings or mechanical unbalancing faults. The focus is on consistent reference data and readily applicable models rather than on theoretical treatment, since the environment in which this apparatus operates is deemed by high levels of electromagnetic noise and propagation conditions far from ideal ones.
Keywords :
electromagnetic wave propagation; machine windings; motor drives; EM field emissions; adjustable speed drives; electrical machinery; electromagnetic filed emission estimation; electromagnetic noise; electromagnetic propagation conditions; electromagnetic signature; mechanical unbalancing faults; partial short-circuits; reference data; DC motors; Electromagnetic compatibility; Induction motors; Integrated circuit modeling; Windings; Antenna measurements; Diagnostics; Electric field; Electric machines; Electromagnetic compatibility; Electromagnetic measurements; Magnetic field;
Conference_Titel :
Diagnostics for Electric Machines, Power Electronics & Drives (SDEMPED), 2011 IEEE International Symposium on
Conference_Location :
Bologna
Print_ISBN :
978-1-4244-9301-2
Electronic_ISBN :
978-1-4244-9302-9
DOI :
10.1109/DEMPED.2011.6063647