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Power transmission line insulator is an important part for power system security. Because insulator has complex operating environment and its infection factors interact on each other, the diagnosis of insulator running state is very difficult. It is needed to use some useful information to conclude insulator operating state. Here, RBF neural network is employed to identify and predict the needed time...
In the process of monitoring and repairing, it is difficult to measure wire net signal of power systempsilas high voltage power transmission lines accurately. In order to solve this problem, the signal measured in remote substation or laboratory is employed to make multipoint prediction to gain the needed data, and then the predicted data is send to work-field via wireless network GPRS. The needed...
It is difficult to describe hydraulic turbine generating unit system via accurate mathematics model because it is a complicated non-liner system. In the paper, RBF neural networks models were established to identify hydraulic turbine generating unit. In RBF networks training, a practical learning algorithm was proposed for adjusting effectively the node number, centers and width of Gaussian function...
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