Design of Unit Fault Diagnosis System Software Based on Artificial Immune System

Author

Qing-hua, Zhang ; Long-qiu, Shao ; Ya-she, Zhang ; Hong-fang, Li ; Yu-zhen, Fu

Author_Institution

Coll. of Electron. Inf. & Comput., Maoming Univ., Maoming

Volume

2

fYear

2008

fDate

12-14 Dec. 2008

Firstpage

431

Lastpage

435

Abstract

This paper first introduces negative selection algorithm of artificial immune system and non-dimension-parameter, and then designs the unit fault diagnosis system software based on artificial immune system by combining negative selection algorithm and non-dimension-parameter. The advanced nature, practicability, validity and correctness of the idea on software design are proofed by the experiment of test machine. The design of this software offers the support for practice of new algorithm and new technology.

Keywords

artificial immune systems; fault diagnosis; software engineering; artificial immune system; negative selection algorithm; nondimension-parameter; software design; unit fault diagnosis system software; Accidents; Algorithm design and analysis; Artificial immune systems; Detectors; Educational institutions; Fault diagnosis; Immune system; Software algorithms; Software design; System software; Negative Selection Algorithm; Non-Dimension-Parameter; fault diagnosis; software design;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Software Engineering, 2008 International Conference on

Conference_Location

Wuhan, Hubei

Print_ISBN

978-0-7695-3336-0

Type

conf

DOI

10.1109/CSSE.2008.808

Filename

4722086