| 改进的BP神经网络和灰色理论在坦克发动机故障诊断中的应用 |
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| 引用本文： | 王进,周文学.改进的BP神经网络和灰色理论在坦克发动机故障诊断中的应用[J].工业控制计算机,2006,19(3):7-8. |
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| 作者姓名： | 王进 周文学 |
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| 作者单位： | 蚌埠坦克学院,安徽,蚌埠,233013;蚌埠坦克学院,安徽,蚌埠,233013 |
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| 摘 要： | 提出了改进的BP神经网络和C型灰色关联度的故障诊断方法.在提取坦克发动机振动信号特征参数的基础上,结合C型灰色关联度诊断法简单易于实现和BP神经网络法诊断精度较高的特点,完成了坦克发动机的故障模式识别和诊断决策.
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| 关 键 词： | BP神经网络 灰色关联度 故障诊断 坦克发动机 |
| 收稿时间： | 10 23 2005 12:00AM |
| 修稿时间： | 2005年10月23 |
Application of the Improved Neural Network and the Grey Theory in Fault Diagnosis for Tank Engine |
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| Wang Jin.Application of the Improved Neural Network and the Grey Theory in Fault Diagnosis for Tank Engine[J].Industrial Control Computer,2006,19(3):7-8. |
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| Authors: | Wang Jin |
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| Affiliation: | Wang Jin et al |
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| Abstract: | The improved diagnostic of BP neural network algorithm and C gray cognate are presented in this paper. On the basis of extracting the characteristic parameters form tank engine vibration signals,and by combination of C gray cognate analysis which is easy to fulfill and the BP neural network diagnostic method which is accurate, the fault pattern recognition and diagnosis are fulfilled for the tank engine. |
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| Keywords: | BP neural network grey cognate fault diagnosis tank engine |
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