Application Research for Fault Diagnosis of Machine Unit Based on Immunology Principle

Author

Cen Jian ; Zhang Qing-hua ; Xu Bu-Gong ; Gao Ting-yu ; Li Hong-fang

Author_Institution

Coll. of Autom., GuangDong Polytech. Normal Univ., Guangzhou

Volume

2

fYear

2009

fDate

25-26 April 2009

Firstpage

776

Lastpage

779

Abstract

In this paper, non-dimensional parameter immune detectors are constructed using some non-dimensional parameter which are more hypersensitive to single fault combined with negative selection mechanism of artificial immune system. Regarding complex fault as a type new occurring fault and is gone into fault space to train, fault character can be extracted, and fault can be diagnosed. The machine unit experiment results show that the proposed method is effective.

Keywords

artificial intelligence; fault diagnosis; genetic algorithms; artificial immune system; fault diagnosis; immunology principle; machine unit; negative selection mechanism; nondimensional parameter immune detectors; Artificial immune systems; Binary codes; Detectors; Educational institutions; Fault detection; Fault diagnosis; Immune system; Probability density function; Space technology; Time domain analysis; fault diagnosis; immunology principle; negate selecion; non-dimentinal parameter;

fLanguage

English

Publisher

ieee

Conference_Titel

Networks Security, Wireless Communications and Trusted Computing, 2009. NSWCTC '09. International Conference on

Conference_Location

Wuhan, Hubei

Print_ISBN

978-1-4244-4223-2

Type

conf

DOI

10.1109/NSWCTC.2009.262

Filename

4908584