A Misfire Diagnosis System for Automobile Engines Based on Genetic Algorithms and Fuzzy Neural Network

摘要：

Forcommon misfiring fault of automobile engines, this paper presents an algorithm named GA-FNN which is the combination of the genetic algorithm (GA) and the fuzzy neural network (FNN). it calculates the memberships of inputs and initializes the weights and thresholds of the neural network by genetic algorithm firstly, and then trains the network and uses it for diagnosis. Simulation results demonstrate GA-FNN has better precision and convergence than FNN. Lastly, GA-FNN is embedded into the expert system with an interactive interface for users.

关键词： misfire diagnosis genetic algorithm fuzzy neural network expert system

作者: Di Lu Yinhua Liu

作者单位: College of Electrical and Electronic Engineering, Harbin University of Science.and Technology, Harbin, P.R. China

会议类型: 国际会议

会议名称: 2009 International Workshop on Information Security and Application(2009 信息安全与应用国际研讨会)

会议地点: 青岛

会议语种:英文

页码: 664-668

在线出版日期: 2009-11-21（万方平台首次上网日期，不代表论文的发表时间）