摘要
提出了一种基于径向基网络的识别变速箱载荷的新方法 ,该方法应用径向基函数网络建立了箱体表面振动响应信号与轴承激励之间的非参数映射模型。通过变速箱在随机激励下的载荷识别结果表明 ,这种利用径向基网络识别变速箱载荷的方法是可行的 ,并且具有识别精度高。
This paper presents an approach to the identification of exciting forces acting on a gearbox based on measured structural responses, which uses radial basis function networks to model the mapping between the response signals and the exciting forces. Results of an experiment on a single stage gearbox demonstrate the feasibility of the approach and its advantages in accuracy,convergence and stability.
出处
《振动．测试与诊断》
EI
CSCD
2004年第2期100-102,共3页
Journal of Vibration,Measurement & Diagnosis
基金
国家自然科学基金资助项目 (编号 :5 9975 0 87)
关键词
载荷识别
径向基函数神经网络
齿轮箱
振动
load identification RBF(radial basis function) neural network gearbox vibration
