| Establishment of a Fault Prognosis Model Using Wavelet Neural Networks and Its Engineering Application |
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| 引用本文： | LIUQi-peng FENGQuan-ke XIONGWei. Establishment of a Fault Prognosis Model Using Wavelet Neural Networks and Its Engineering Application[J]. 国际设备工程与管理, 2004, 9(2): 72-78 |
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| 作者姓名： | LIUQi-peng FENGQuan-ke XIONGWei |
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| 作者单位： | SchoolofEnergyandPowerEngineering,Xi＇anJiaotongUniversity,Xi＇an,Shaanxi,710049,P.R.China |
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| 摘 要： | Fault diagnosis is confronted with two problems; how to “measure“ the growth of a fault and how to predict the remaining useful lifetime of such a failing component or machine. This paper attempts to solve these two problems by proposing a model of fault prognosis using wavelet basis neural network. Gaussian radial basis functions and Mexican hat wavelet frames are used as scaling functions and wavelets, respectively. The centers of the basis functions are calculated using a dyadic expansion scheme and a k-means clustering algorithm.
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| 关 键 词： | 故障诊断 故障预后 小波分析 神经网络 机械 聚类分析 |
Establishment of a Fault Prognosis Model Using Wavelet Neural Networks and Its Engineering Application |
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| Abstract: | |
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| Keywords: | fault diagnosis fault prognosis neural networks wavelet neural networks radial basis function |
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