| 磨削砂轮状态在线监测方法研究 |
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| 引用本文： | 林影丽. 磨削砂轮状态在线监测方法研究[J]. 机械工程师, 2005, 0(10): 70-72 |
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| 作者姓名： | 林影丽 |
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| 作者单位： | 山东电子职业技术学院,山东,济南,250014 |
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| 摘 要： | 提出了用声发射（AE）信号在线监测砂轮状态的方法.利用该方法可以监测工件材料、加工要求和磨削参数经常变化环境下的砂轮钝化程度和破碎情况;并采用神经网络建立了传感器信号与砂轮状态之间的非线性关系.
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| 关 键 词： | 磨削加工 砂轮状态 声发射（AE）信号 神经元网络 |
| 文章编号： | 1002-2333(2005)10-0070-03 |
| 收稿时间： | 2005-06-03 |
| 修稿时间： | 2005-06-03 |
Study on on-line Monitoring Method for Grinding Wheel States |
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| LIN Ying-li. Study on on-line Monitoring Method for Grinding Wheel States[J]. Mechanical Engineer, 2005, 0(10): 70-72 |
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| Authors: | LIN Ying-li |
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| Affiliation: | Shandong College of Electronic Technology,Jinan 250014,China |
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| Abstract: | Returning original processing method of AE signals is pretended to monitoring grinding wheel states under the surroundings of multi-changing grinding conditions in this paper,it can overcome limitation of the method of monitoring AE signals amplitude,that cannot motoring grinding wheel dull under grinding parameter,processing requirements and work-piece material are changing frequently,same time,power sensor is used to monitoring grinding wheel crash.Neural network is used to build the nonlinear relationships between sensors signals and wheel states in this paper,it is very difficult to build mathematical model for complex grinding conditions,and stable neural network model is obtained through sample studying.Testing resolute indicates this system is effect for monitoring grinding wheel states. |
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| Keywords: | grinding machining grinding wheel state AE signal neural network |
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