Computer and Modernization ›› 2010, Vol. 1 ›› Issue (5): 21-23.doi: 10.3969/j.issn.1006-2475.2010.05.007

• 人工智能 • Previous Articles     Next Articles

Fault Diagnosis of Power Vehicle with RBF Fuzzy Neural Network

LU Bing-yan1, CHEN You-long2, ZHANG Zong-yi1   

  1. 1. Graduate Brigade, Qingdao Branch, Naval Aeronautical and Astronautical University, Qingdao 266041, China;2. Four-station Staff Room, Qingdao Branch, Naval Aeronautical and Astronautical University, Qingdao 266041, China
  • Received:2009-11-25 Revised:1900-01-01 Online:2010-05-10 Published:2010-05-10

Abstract: Combined with the fuzzy theory and the RBF neural network, this paper constructs the fault diagnostic method of fuzzy RBF network. In the process of the power vehicle fault diagnosis, through comparing the RBF neural network with the fuzzy RBF network, the result indicates that the fuzzy RBF network has the characteristics of higher precision and faster convergence speed etc.

Key words: power vehicle, fuzzy RBF network, fault diagnosis

CLC Number: