| 基于 ANN 的 FMS 故障诊断模型及其学习算法 |
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| 引用本文： | 史天运,王信义,张之敬,朱小燕.基于 ANN 的 FMS 故障诊断模型及其学习算法[J].北京理工大学学报(英文版),1997,6(4):341-349. |
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| 作者姓名： | 史天运 王信义 张之敬 朱小燕 |
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| 作者单位： | 北京理工大学机械工程与自动化学院 |
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| 摘 要： | 讨论了基于前馈型神经网络的ＦＭＳ故障诊断模型，并提出一种用于前馈型神经网络训练的改进ＢＰ算法和基于遗传算法的网络初始点获取策略，给出一种通用前馈型神经网络结构和学习参数自整定学习算法，最后应用上述方法建立了基于前馈型神经网络的ＦＭＳ机器人故障诊断模型，并用所提出的新的学习算法对网络进行了学习，与传统ＢＰ算法比较，学习速度较快，且不易陷入局部极小点
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| 关 键 词： | FMS故障诊断 人工神经网络 改进BP算法 优化 遗传算法 学习速度 |
ANN Model and Learning Algorithm in Fault Diagnosis for FMS |
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| Shi Tianyun,Wang Xinyi,Zhang Zhijing and Zhu Xiaoyan.ANN Model and Learning Algorithm in Fault Diagnosis for FMS[J].Journal of Beijing Institute of Technology,1997,6(4):341-349. |
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| Authors: | Shi Tianyun Wang Xinyi Zhang Zhijing and Zhu Xiaoyan |
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| Affiliation: | School of Mechanical Engineering and Automation,Beijing Institute of Technology,Beijing 100081;School of Mechanical Engineering and Automation,Beijing Institute of Technology,Beijing 100081;School of Mechanical Engineering and Automation,Beijing Institute of Technology,Beijing 100081;School of Mechanical Engineering and Automation,Beijing Institute of Technology,Beijing 100081 |
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| Abstract: | The fault diagnosis model for FMS based on multi layer feedforward neural networks was discussed An improved BP algorithm,the tactic of initial value selection based on genetic algorithm and the method of network structure optimization were presented for training this model ANN(artificial neural network)fault diagnosis model for the robot in FMS was made by the new algorithm The result is superior to the rtaditional algorithm |
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| Keywords: | fault diagnosis for FMS artificial neural network(ANN) improved BP algorithm optimization genetic algorithm learning speed |
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