DocumentCode :
3002037
Title :
Measurement and estimation of electric field emission of a vacuum cleaner
Author :
Alkahtani, Ammar Ahmed ; Nordin, Farah Hani ; Sharrif, Z.A.M.
Author_Institution :
Center of Signal Process. & Control Syst. (SPaCS), Univ. Tenaga Nasional, Kajang, Malaysia
fYear :
2013
fDate :
Nov. 29 2013-Dec. 1 2013
Firstpage :
321
Lastpage :
324
Abstract :
Electric field emission of electrical appliances has become an important problem, especially when testing for safety and compliance with regulations of electromagnetic compatibility (EMC). To confirm the safety and compliance of an electrical appliance, it is important to measure the levels of the emitted electric and magnetic fields from this appliance and compare them to the exposure limit values set by the international standards. Moreover, modeling these emitted fields can aid understanding their characteristics and ease investigating how different systems react to such emission. However, a good model depends mainly on the accuracy and robustness of the measurement methodology. Hence, the aim of this paper is to present a measurement methodology and a frequency domain model for the emitted electric field of vacuum cleaners using system identification tools. The proposed model is a data-driven model where the recorded signal is used to construct the model using polynomial model estimation methods. Measurement setup, related work and the model equation are presented accordingly.
Keywords :
domestic appliances; electric field measurement; electrical safety; electromagnetic compatibility; frequency-domain analysis; magnetic fields; EMC; data-driven model; electric field; electric field emission measurement; electrical appliance compliance; electrical appliance safety; electromagnetic compatibility; frequency domain model; magnetic field; polynomial model estimation method; vacuum cleaner; Antenna measurements; Electric variables measurement; Electrical products; Frequency-domain analysis; Mathematical model; Vacuum systems; Electric field emission estimation; Electric field measurement; System identification; Vacuum cleaner;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control System, Computing and Engineering (ICCSCE), 2013 IEEE International Conference on
Conference_Location :
Mindeb
Print_ISBN :
978-1-4799-1506-4
Type :
conf
DOI :
10.1109/ICCSCE.2013.6719982
Filename :
6719982
Link To Document :
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