Title :
Study on Neural Network of Circuit Failure Diagnosis System
Author :
Yang, Chenghui ; Meng, Jianjun ; Qi, Wenzhe
Author_Institution :
Coll. of Electr. Eng., Northwest Univ. for Nat., Lanzhou, China
Abstract :
Combining the failure practical example, neural network analysis is used for diagnosis. Using the neural network in MATLAB to simulate the circuit fault system, this is using two different kinds of training functions. For the better analysis of failure diagnosis problems, firstly, using MATLAB software to simulate failure problems such as the emergence of regular power, short circuit and broken circuit. Through the training functions traingdm training function and trainglm training function, then, we get the conclusion that which function is better for the diagnoses of circuit failure, and the importance of the simulation of the circuit failure system.
Keywords :
circuit simulation; circuit testing; fault diagnosis; learning (artificial intelligence); mathematics computing; neural nets; MATLAB; broken circuit; circuit failure diagnosis system; circuit fault system simulation; neural network training function; regular power emergence; short circuit; Artificial neural networks; Circuit faults; Circuit simulation; Computer science; Control systems; Failure analysis; Large-scale systems; Neural networks; Neurons; Nonlinear dynamical systems; circuit failure; diagnosis; learning; neural network; trainings;
Conference_Titel :
Computer Science and Computational Technology, 2008. ISCSCT '08. International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3746-7
DOI :
10.1109/ISCSCT.2008.150