| 基于运转噪声识别数控机床主轴轴承状态的研究 |
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| 引用本文： | 皮智谋,李强,任成高. 基于运转噪声识别数控机床主轴轴承状态的研究[J]. 制造技术与机床, 2011, 0(7) |
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| 作者姓名： | 皮智谋 李强 任成高 |
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| 作者单位： | 湖南工业职业技术学院,湖南长沙,410208 |
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| 基金项目： | 湖南省科技计划资助项目，湖南省教育厅资助科研项目(10C0118)2007 |
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| 摘 要： | 研究数控机床主轴运转过程中噪声信号与主轴轴承健康状态之间的关系。利用声传感装置采集主轴轴承在正常和故障状态下主轴运转噪声，采用三层BP神经网络建立轴承状态识别器，将噪声信号的功率、绝对值均值和方差作为特征参数,通过试验确定BP网络最优隐含层节点数，利用所获得的样本信号对BP网络进行训练，测试结果表明，该方法具有良好的识别效果。
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| 关 键 词： | 轴承 数控机床 噪声 状态监测 神经网络 |
Research on state recognition of spindle bearings of NC machine tool based on spindle noise |
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| PI Zhimou,LI Qiang,REN Chenggao. Research on state recognition of spindle bearings of NC machine tool based on spindle noise[J]. Manufacturing Technology & Machine Tool, 2011, 0(7) |
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| Authors: | PI Zhimou LI Qiang REN Chenggao |
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| Affiliation: | PI Zhimou,LI Qiang,REN Chenggao(Hunan Industry Polytechnic,Changsha 410208,CHN) |
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| Abstract: | Relationship between spindle running noise and health state of spindle bearings of NC machine tool is studied.With a sound sensor system,the spindle noise signals are obtained both in normal state and fault state of bearings.With three input characteristics abstracted from the signals,such as mean of absolute value,power and variance,a three-layer Back-Propagation neural network to recognize the bearing work state is built up.The optimized numbers of hidden layer node of the neural network is determined by ... |
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| Keywords: | Bearings NC Machine Tools Noise Condition Monitoring Neural Network |
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