| 基于径向基网络的变速箱载荷识别研究 |
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| 引用本文： | 田燕,邢士勇,张志斌,郑海起. 基于径向基网络的变速箱载荷识别研究[J]. 振动、测试与诊断, 2004, 24(2): 100-102 |
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| 作者姓名： | 田燕 邢士勇 张志斌 郑海起 |
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| 作者单位： | 军械工程学院火炮工程系,石家庄,050003 |
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| 基金项目： | 国家自然科学基金资助项目 (编号 :5 9975 0 87) |
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| 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问的非参数映射模型。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、运算速度快及稳定性好等优点。
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| 关 键 词： | 载荷识别 径向基函数神经网络 齿轮箱 振动 |
| 修稿时间： | 2003-09-27 |
Load Identification of Gearbox Based on Radial Basis Function Neural Networks |
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| Tian Yan Xing Shiyong Zhang Zhibin Zheng Haiqi. Load Identification of Gearbox Based on Radial Basis Function Neural Networks[J]. Journal of Vibration,Measurement & Diagnosis, 2004, 24(2): 100-102 |
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| Authors: | Tian Yan Xing Shiyong Zhang Zhibin Zheng Haiqi |
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| Abstract: | 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. |
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| Keywords: | load identification RBF(radial basis function) neural network gearbox vibration |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
