| 刀具磨损估计的多传感器融合神经网络方法研究 |
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| 引用本文： | 朱名铨,蔡永霞.刀具磨损估计的多传感器融合神经网络方法研究[J].航空学报,1997,18(1):120-122. |
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| 作者姓名： | 朱名铨 蔡永霞 |
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| 作者单位： | 西北工业大学飞行器制造工程系 |
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| 基金项目： | 国家自然科学基金,航空科学基金 |
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| 摘 要： | 研究了利用声发射、振动和电机功率信号经BP算法信息融合估计刀具磨损量的方法，采用简单有效的灰色模型关联分析法选择特征参数，研究了网络参数对性能的影响以及网络性能的稳定性。
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| 关 键 词： | 神经网络 特征选择 刀具磨损 仿真 |
SENSOR FUSION VIA NEURAL NETWORKS FOR ESTIMATION OF TOOL WEAR |
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| Zhu Mingquan,Cai Yongxia.SENSOR FUSION VIA NEURAL NETWORKS FOR ESTIMATION OF TOOL WEAR[J].Acta Aeronautica et Astronautica Sinica,1997,18(1):120-122. |
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| Authors: | Zhu Mingquan Cai Yongxia |
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| Institution: | Dept. of manufacturing Engineering,Northwestern Polytechnical University, Xi′an,710072 |
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| Abstract: | An information fusion from multiple sensors (acoustic emission,vibration and spindle motor power) via back propagation algorithm to estimate tool wear is presented.A simple efficient method,relevant analysis using grey model theory,is used to select the features.The influence of parameters on performance of network and the robustness with respect to noisy and inaccurate sensor information are investigated. |
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| Keywords: | artificial neural network feature selection tool wear estimation simulation |
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