Neuro-fuzzy performance management of factory automation networks

Author

Lee, Sang-ho ; Son, Joon-woo ; Suk Lee ; Lee, Man Hyung ; Lee, Jangmyung ; Bae, Jong II ; Lee, Jong-nyun

Author_Institution

Sch. of Mech. Eng., Pusan Nat. Univ., South Korea

Volume

1

fYear

1997

fDate

7-11 Jul 1997

Firstpage

18

Abstract

This paper focuses on performance management of computer communication networks serving manufacturing systems. The performance management aims to improve the network performance in handling various types of messages by on-line adjustment of protocol parameters. The principles of fuzzy logic and neural network have been used in formulating the performance management rules and in deriving management decisions. A performance management procedure developed for IEEE 802.4 protocol standard has been evaluated via discrete event simulation

Keywords

computer network management; discrete event simulation; factory automation; fuzzy neural nets; production engineering computing; protocols; token networks; IEEE 802.4 protocol standard; computer communication networks; discrete event simulation; factory automation networks; fuzzy logic; management decisions; manufacturing systems; network performance improvement; neuro-fuzzy performance management; on-line adjustment; performance management; protocol parameters; token bus protocol; Communication networks; Computer aided manufacturing; Computer network management; Computer networks; Fuzzy logic; Manufacturing automation; Manufacturing systems; Neural networks; Protocols; Standards development;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, 1997. ISIE '97., Proceedings of the IEEE International Symposium on

Conference_Location

Guimaraes

Print_ISBN

0-7803-3936-3

Type

conf

DOI

10.1109/ISIE.1997.651783

Filename

651783