| 用于旋转机械故障诊断的一种张量增强型前向神经网络模型 |
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| 引用本文： | 臧朝平,张思.用于旋转机械故障诊断的一种张量增强型前向神经网络模型[J].机械强度,1996,18(3):6-9. |
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| 作者姓名： | 臧朝平 张思 |
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| 作者单位： | 东南大学振动工程研究所 |
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| 摘 要： | 在多层前向神经网络模型的研究基础上，提出了基于张量的增强型前向神经网络诊断模型，以实现在已知输入模式不变的情况下，增强原始模式的表达，从而提高了诊断的精度。试验结果表明，本模型对工程应用具有较高的实用价值。
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| 关 键 词： | 故障诊断 旋转机械 神经网络 前向 |
AN EXPANSIONAL ENHANCED FEEDFORWARD NEURAL NETWORK MODEL FOR FAULT DIAGNOSIS OF ROTATING MACHINERY |
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| Zang Chaoping, Zhang St, Gao Men.AN EXPANSIONAL ENHANCED FEEDFORWARD NEURAL NETWORK MODEL FOR FAULT DIAGNOSIS OF ROTATING MACHINERY[J].Journal of Mechanical Strength,1996,18(3):6-9. |
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| Authors: | Zang Chaoping Zhang St Gao Men |
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| Abstract: | A new expansional enhanced feed forward neural network model for fault diagnosis of rotating machinery was further provided in this paper, based on studying a conventional back--propagation diagnostic neuralnetwork. This improved approach to fault diagnosis considerably extends the network'S capability for representingcomplex nonlinear relationships between the types of faults and symptoms,promotes the diagnostic accuracy byadding a number of functional units in the input layer. The experimental results show the effectively practical values for engineering applications. |
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| Keywords: | fault diagnosis rotating machinery neural network feedforward neural network expansional enhanced |
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