| 基于小波神经网络的凝汽器故障诊断 |
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| 引用本文： | 姜金贵. 基于小波神经网络的凝汽器故障诊断[J]. 工业工程, 2010, 13(4): 104-107 |
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| 作者姓名： | 姜金贵 |
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| 作者单位： | 哈尔滨工程大学,经济管理学院,黑龙江,哈尔滨,150001 |
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| 基金项目： | 黑龙江省科技攻关资助项目 |
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| 摘 要： | 引入小波变换优化神经网络,建立了凝汽器故障征兆参数集,利用小波神经网自适应能力强、收敛速度快、精度高的特点对凝汽器故障进行诊断。应用结果表明,该方法能够有效地对凝汽器故障进行准确诊断。
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| 关 键 词： | 小波神经网络 凝汽器 故障诊断 |
Fault Diagnosis of Condenser Based on Wavelet Neural Network |
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| Jiang Jin-gui. Fault Diagnosis of Condenser Based on Wavelet Neural Network[J]. Industrial Engineering Journal, 2010, 13(4): 104-107 |
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| Authors: | Jiang Jin-gui |
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| Affiliation: | Jiang Jin-gui(School of Economics & Management,Harbin Engineering University,Harbin 150001,China) |
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| Abstract: | A study on fault diagnosis of condenser is conducted and the set of fault symptoms is built.Wavelet transformation technique is introduced into neural network to optimize the learning process for fault diagnosis.The proposed method is applied to an industrial case problem.Results show that the method has better adaptive capacity,faster convergence speed,and higher prediction accuracy than the existing methods. |
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| Keywords: | wavelet neural network condenser fault diagnosis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
