Title :
A Model For Fault Prevention Based on Artificial Immune Theory
Author :
Wang, Yi ; Liu, Kai ; Zhang, Haiyan
Author_Institution :
Sch. of Mech. & Precision Instrum. Eng., X´´an Univ. of Technol., Xi´´an, China
Abstract :
In this paper, we introduced the recognition mode of biological immunity and presented a model for fault prevention based on the artificial immune theory. The recognition rate, failure rate and misjudgment rate of the fault prevention system are defined and corresponding mathematic formulations are presented. The mathematic model of fault prevention based on the artificial immunity theory have the character of convergence, dynamic protection, and robustness, etc.
Keywords :
artificial immune systems; mathematical analysis; reliability theory; artificial immune theory; biological immunity; failure rate; fault prevention model; mathematic formulations; misjudgment rate; recognition mode; recognition rate; Artificial immune systems; Biological system modeling; Fault diagnosis; Immune system; Information science; Machine learning; Mathematical model; Mathematics; Neodymium; Signal processing;
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
DOI :
10.1109/ICISE.2009.67
