DocumentCode :
479898
Title :
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
Link To Document :
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