| 人工神经网络在铁谱技术磨粒识别中的应用 |
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| 引用本文： | 黄安雅,陈兆能.人工神经网络在铁谱技术磨粒识别中的应用[J].传动技术(上海),1997(1):42-46. |
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| 作者姓名： | 黄安雅 陈兆能 |
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| 作者单位： | 上海交通大学 |
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| 摘 要： | 铁谱技术在机械设备状态监测中得到了广泛的应用，磨粒识别是铁谱分析的一个关键环节，本文提出了一种基于神经网络的磨粒识别方法，利用前馈型神经网络模型对七种典型磨损磨粒进行了实例分析识别，取得了令人满意的结果。
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| 关 键 词： | 磨粒识别 人工神经网络 铁谱技术 机械设备监控 |
The Application of Artificial Neural Networks to Wear Debris Recognition in Ferrography Technology |
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| SJTU Huang Anya,Chen Zhao neng,Zhu Ji mei.The Application of Artificial Neural Networks to Wear Debris Recognition in Ferrography Technology[J].Drive System Technique,1997(1):42-46. |
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| Authors: | SJTU Huang Anya Chen Zhao neng Zhu Ji mei |
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| Affiliation: | SJTU Huang Anya Chen Zhao neng Zhu Ji mei |
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| Abstract: | Wear debris recognition is important in ferrography technology, which is now widely applied to condition monitoring of machinery. In this paper a method, which adopts a forward neural network to classify debris into seven type, is proposed. A test proves that the classification neural network works well in wear debris recognition. |
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| Keywords: | Wear Debris Recognition Artificial Neural Networks |
| 本文献已被 CNKI 维普 等数据库收录！ |
