| 灯泡贯流式机组轴承温度的人工神经网络建模探讨 |
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| 引用本文： | 赵林明,代秋平,賁国雄,莫异周,贾树枝. 灯泡贯流式机组轴承温度的人工神经网络建模探讨[J]. 中国水能及电气化, 2011, 0(3): 61-64 |
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| 作者姓名： | 赵林明 代秋平 賁国雄 莫异周 贾树枝 |
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| 作者单位： | 赵林明,代秋平,ZHAO Lin-ming,DAI Qiu-ping(河北工程大学,邯郸,056021);賁国雄,莫异周,贾树枝,BI Guo-xiong,MO Yi-zhou,JIA Shu-zhi(桂龙水电有限公司,宜州,546300) |
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| 摘 要： | 本文在现场监测数据的基础上应用人工神经网络方法,建立了灯泡贯流式机组轴承温度的数学模型,并与实际的监测数据进行了对比分析。对比分析表明,所建立的人工神经网络模型,具有较高的计算精度,能够在已知机组工作参数的情况下,快速求出机组轴承的温度,该模型可以用于机组的计算机辅助运行系统开发中。
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| 关 键 词： | 水电站 灯泡贯流式机组 人工神经网络 |
Discussion of Artificial Neural Network Modeling of Bulb Turbine Unit Bearing Temperature |
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| ZHAO Lin-ming,DAI Qiu-ping,BI Guo-xiong,MO Yi-zhou,JIA Shu-zhi. Discussion of Artificial Neural Network Modeling of Bulb Turbine Unit Bearing Temperature[J]. China Hydropower & Electrification, 2011, 0(3): 61-64 |
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| Authors: | ZHAO Lin-ming DAI Qiu-ping BI Guo-xiong MO Yi-zhou JIA Shu-zhi |
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| Affiliation: | ZHAO Lin-ming1,DAI Qiu-ping1,BI Guo-xiong2,MO Yi-zhou2,JIA Shu-zhi2 (1. Hebei University of Engineering,Handan 056021,China) 2. Guilong Hydropower Co.,Ltd. Yizhou 546300,China) |
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| Abstract: | The paper applies artificial neural network method based on field monitoring data and builds mathematical model of bulb turbine unit bearing temperature, and it is compared with actual monitoring data for analysis. Comparative analysis shows that the established artificial neural network model has higher calculation precision, and can be used for rapidly obtaining the temperature of unit bearing under the condition that the unit work parameters are known, and the model can be used for developing unit comput... |
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| Keywords: | hydropower station bulb turbine unit artificial neural network |
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