학술논문

Survey of models and reference data for prediction of e.m. field emissions from electrical machinery
Document Type
Conference
Source
8th IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics & Drives Diagnostics for Electric Machines, Power Electronics & Drives (SDEMPED), 2011 IEEE International Symposium on. :350-355 Sep, 2011
Subject
Components, Circuits, Devices and Systems
Power, Energy and Industry Applications
DC motors
Integrated circuit modeling
Induction motors
Windings
Electromagnetic compatibility
Electric machines
Electromagnetic measurements
Diagnostics
Antenna measurements
Electric field
Magnetic field
Language
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.