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.

Survey of models and reference data for prediction of e.m. field emissions from electrical machinery

SANDROLINI, LEONARDO
2011

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.
Proceedings of 8th IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics & Drives (IEEE SDEMPED 2011)
350
355
A. Mariscotti; A. Ogunsola; L. Sandrolini
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/108941
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