| Study of predicting breakdown voltage of stator insulation in generator based on BP neural network |
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| 作者姓名： | 江裕熬 张爱德 刘丽兵 杜预 高乃奎 彭宗仁 |
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| 作者单位： | State Key Laboratory of Electrical Insulation for Power Equipment, Xi＇an Jiaotong University, Xi＇an 710049, China |
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| 基金项目： | This research was supported by the Key Technology R＆D Program of State Power Corporation of China During the Tenth-Five-Year Plan Period. |
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| 摘 要： | The breakdown voltage plays an important role in evaluating residual life of stator insulation in generator. In this paper, we discussed BP neural network that was used to predict the breakdown voltage of stator insulation in generator of 300 MW/18 kV. At first the neural network has been trained by the samples that include the varieties of dielectric loss factor tan δ, the partial discharge parameters and breakdown voltage. Then we tried to predict the breakdown voltage of samples and stator insulations subjected to multi-stress aging by the trained neural network. We found that it＇s feasible and accurate to predict the voltage. This method can be applied to predict breakdown voltage of other generators which have the same insulation structure and material.
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| 关 键 词： | 发电机 BP神经网络 定子绝缘 击穿电压 预测 |
| 文章编号： | 1671-8267（2007）01-0034-04 |
Study of predicting breakdown voltage of stator insulation in generator based on BP neural network |
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| Jiang Yuao,Zhang Aide,Liu Libing,Du Yu,Gao Naikui,Peng Zongren.Study of predicting breakdown voltage of stator insulation in generator based on BP neural network[J].Academic Journal of Xi’an Jiaotong University,2007,19(1):34-37. |
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| Authors: | Jiang Yuao Zhang Aide Liu Libing Du Yu Gao Naikui Peng Zongren |
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| Abstract: | The breakdown voltage plays an important role in evaluating residual life of stator insulation in generator. In this paper, we discussed BP neural network that was used to predict the breakdown voltage of stator insulation in generator of 300 MW/18 kV. At first the neural network has been trained by the samples that include the varieties of dielectric loss factor tanδ, the partial discharge parameters and breakdown voltage. Then we tried to predict the breakdown voltage of samples and stator insulations subjected to multi-stress aging by the trained neural network. We found that it's feasible and accurate to predict the voltage. This method can be applied to predict breakdown voltage of other generators which have the same insulation structure and material. |
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| Keywords: | generator neural network stator insulation breakdown voltage prediction |
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