摘要
基于模糊c-均值聚类(FCM)的模糊神经网络(ANFIS),提出一种汽车防抱死系统(ABS)的轮速传感器系统在线故障类型识别方法。采用FCM算法对故障样本进行分类,并通过训练ANFIS,获得诊断模型。该方法与传统的ABS故障诊断方法相比更具合理性和精确性,仿真结果表明了该方法的有效性。
A method of ABS wheel speed sensor system online faults type identification based on FCM and ANFIS was presented. For this method, FCM arithmetic was used to class the samples to several faults style, and ANFIS was used to calculate the parameter, and the correct diagnosis model was obtained. The experimental results show the feasibility of the proposed method.
出处
《机床与液压》
北大核心
2008年第B07期191-193,共3页
Machine Tool & Hydraulics
基金
浙江省教育厅资助项目(20030020)
