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In order to improve the utilization rate of power equipment and service life, reduce the economic loss of the power grid and overcome the shortcomings of traditional threshold determination methods, this paper proposed a power equipment fault diagnosis method based on fuzzy multilayer support vector machines. The new method mines equipment feature information by the fuzzy logic algorithm, trains many...
Normal operation of the transformer is an important guarantee of the reliability of the power system. The transformer fault diagnosis is an important basis for transformer maintenance. Three-ratio method is widely used in oil-immersed transformer fault diagnosis, however the encoded value is too severe to correspond to the type of failure. FCM (Fuzzy C-means clustering) algorithm is introduced to...
PSO (Particle Swarm Optimization)-RBF is widely used in intelligent fault diagnosis for generator unit. Since PSO has slow convergence rate, low accuracy, and early-maturing problem which effect training speed and diagnosis accuracy of PSO-RBF, the operations of crossover and variation of genetic algorithm (GA) are introduced into PSO such that the performance of PSO can be improved. GA-PSO is employed...
The theory of the counter propagation network (CPN) is introduced in this paper, and a fault diagnosis method of turbine generator unit based on CPN is proposed, taking the turbine generator unit in thermal power plant as research object. This method serves the fault spectrum feature vectors of turbine generator unit as the learning samples to train the CPN, and then makes the network can reflect...
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