Abstract
SOM neural network is of strong non-linearity mapping capacity and flexible network structure. Use this algorithm for training, form a scientific and rational classification of training samples, which draw the corresponding cause of the malfunction. Use a diesel engine system fault diagnosis model is established and the related parameters as the training sample, SOM network input layer neuron number parameter dimension 8, competition with 10 ×10 layer structure to establish the diagnosis model, through the simulation test, verify the validity and practicability of SOM neural network in fault diagnosis
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