Title :
The Application of Self Immune Genetic Arithmetic in Fault Diagnose of Electric System
Author :
Liu, Shurong ; Meng, Xingping
Author_Institution :
Dept. of Electr. Eng., Changchun Inst. of Technol., Changchun, China
Abstract :
The steady running of electric system is attained much more attention. This paper presents a newly-improved Immune Genetic Arithmetic for the Fault Diagnose of electric system, introduces new Immune operator and brings out the specific module included in the Immune operator. Multiformity processing promises the diversity of species in the system and prevents trapping in the local optimization. The choosing of self-immune system and real-time updating of vaccine enhance individual immunity, avoid the lost of optimal solution, accelerate evolving and promise real-time quality. The theory analysis and test of examples proves that the arithmetic advances convergence velocity effectively, promise the real-time quality of the system, and realize the fault diagnose of the electric system.
Keywords :
fault diagnosis; genetic algorithms; power system faults; self-adjusting systems; convergence velocity; electric system fault diagnose; local optimization trapping; real-time quality; self immune genetic arithmetic; species diversity; Arithmetic; Circuit faults; Diagnostic expert systems; Fuzzy systems; Genetics; Immune system; Neurons; Real time systems; Sampling methods; Vaccines; Electric System; Fault Diagnos; Immune Genetic Arithmetic; Self-Immune;
Conference_Titel :
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3835-8
Electronic_ISBN :
978-0-7695-3816-7
DOI :
10.1109/AICI.2009.286