| Fault Diagnosis in Hydraulic Turbine Governor Based on BP Artificial Neural Network |
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| 作者姓名： | YU Xiao hui DU Lin CHEN Ming ying CAI Hong LIAO Rui jing |
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| 摘 要： | The governing system of hydraulic turbine generator plays an important role in power system. It is significant to find out the faults of governing system and remove them quickly. This paper sets up a new fault diagnosis model of the hydraulic turbine generator governing system with the advanced ANN (artificial neural net). This 17-in-13-out model consists of three layers. It is proved that this model can find the fault accurately.
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| 关 键 词： | governing system fault diagnosis artificial neural network |
| 修稿时间： | 2001/6/20 0:00:00 |
Fault Diagnosis in Hydraulic Turbine Governor Based on BP Artificial Neural Network |
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| YU Xiao hui,DU Lin,CHEN Ming ying,CAI Hong,LIAO Rui jing.Fault Diagnosis in Hydraulic Turbine Governor Based on BP Artificial Neural Network[J].Storage & Process,2001(6):71-74. |
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| Authors: | YU Xiao hui DU Lin CHEN Ming ying CAI Hong LIAO Rui jing |
| |
| Abstract: | The governing system of hydraulic turbine generator plays an important role in power system. It is significant to find out the faults of governing system and remove them quickly. This paper sets up a new fault diagnosis model of the hydraulic turbine generator governing system with the advanced ANN (artificial neural net). This 17-in-13-out model consists of three layers. It is proved that this model can find the fault accurately. |
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| Keywords: | governing system fault diagnosis artificial neural network |
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