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Flow turbulence intensity is one of the most important indexes in measuring the shear performance of vertical impinging stream reactor (VCISR). The staggered forms of the upper and lower blades and the distances among draft-tube are the significant factors affecting the turbulence intensity in the reactor. In order to explore the law that the structure parameters impact the internal flow field, a...
Magnetic suspension system is a typical non-linear hysteretic system. A kind of technology, which combines the permanent magnet and the electromagnetism, is presented for its characteristics and can obviously reduce power consumption. In order to solve the impact of the change of current in magnet coils on the overall rigidity, a double closed loop control system, which introduces the current loop...
The principle of cluster analysis combined kernel methods with data description was researched firstly, based on this, the cluster analysis process combined kernel methods with data description and artificial immune system of real encoding was put forward. Then identify indexes of electricity customer classification ware confirmed. Finally, according to a power company some customer data, electricity...
This paper proposes a organic hybrid model of the genetic algorithm and the particle swarm algorithm firstly, then establishes the multi-factor time series forecasting model, designs the BP neural networks, adopts the organic hybrid model of genetic algorithm and particle swarm algorithm to optimize the weight from the input layer to the hidden layer, the weight from the hidden layer to the output...
Permanent magnets have inherent magnetism. Power consumption of suspension system can be reduced and large air-gap can be reached when permanent magnets are applied to maglev system. But permanent magnets cannot be well controlled and the load of the electromagnetic suspension system (hereafter, EMSS) is not constant, so electromagnets should be added. Therefore a hybrid structure made of permanent...
Considering the factors affecting the increasing rate of power consumption, the BP neural network structure and the neural network forecasting model of the increasing rate of power consumption were established. Immune genetic algorithm was applied to optimizing the weight from input layer to hidden layer, from hidden layer to output layer, and the threshold value of neuron nodes in hidden and output...
Electricity consumption reflects the electricity usage of the whole society, so the prediction study and analysis to electricity consumption have important realistic and theoretical significance. The influence that different factors affect the electricity consumption is in different degrees. And the influence works in complicated ways, which makes the characteristics of the electricity consumption...
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