Radiated EMI Recognition and Identification form PCB Configuration Using Neural Network

Autor:	P. Teekaput, K. Aunchaleevarapan, Piyapong Dangkham, S. Chaichana, Piyanuch Sujintanarat
Rok vydání:	2007
Předmět:	Electromagnetic field Printed circuit board Artificial neural network Computer science EMI Computation Acoustics Noise (electronics) Horizontal line test Finite element method
Zdroj:	PIERS Online. 3:225-229
ISSN:	1931-7360 0609-0702
DOI:	10.2529/piers060907024549
Popis:	In this paper the application of neural network (NN) in EMI radiated measurement is proposed to recognize and identify the basic PCB configuration. The emission of electromagnetic (EMI) noise form printed circuit board (PCB) is studied. The different kinds of PCB shape are used for produce electromagnetic field. The fields are measured using near-field probe with termination load and computation using finite element method (FEM). After measurement by near-field probe and simulation by FEM then, is a thinning process. The images acquired from thinning process will be analyzed to calculate number of junction point, end point, cross point, ratio of black and white, position of end point, vertical line and horizontal line, respectively then pass to NN. The trained NN can identify emission pattern successfully. DOI: 10.2529/PIERS060907024549
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0b3ac3a7cbc24dc1154c07983659788b https://doi.org/10.2529/piers060907024549 Zobrazit plný text záznamu