摘要
设计了一种模糊神经网络推理系统诊断汽车空调压缩机故障,并且应用遗传算法对系统进行优化及对BP网络算法进行改进。这种方法能够优化模糊系统的参数和结构,并且能删除无用的模糊规则。结果证明这种推理系统具有收敛速度快,泛化能力好、推广性强的特点,极大提高了汽车空调压缩机故障诊断的效率和准确性。
Fuzzy neural network system is used in compressor fault diagnosis of automotive air condition,and GA(Genetic Algorithm)is adopted to optimize the system and improve BP network.Parameters and structures of the fuzzy system are optimized and the useless fuzzy inference are reduced.The rapid convergence,advanced comprehensibility and good generalization are proved by the diagnoss result.The accuracy and the efficiency of faul diagnosis system are improved.
出处
《压缩机技术》
2004年第4期4-5,8,共3页
Compressor Technology
关键词
模糊推理
神经网络
遗传算法
压缩机
故障诊断
Fuzzy inference
Neural network
Genetic algorithm
Compressor
Fault diagnosis
