By Using SOM Network Visualization Methods for Diesel Engine Fault Diagnosis

Guang Hui Wang; Qiu Ping Ren

doi:10.4028/www.scientific.net/AMR.694-697.1110

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Application of Monitoring the Melt Flow Balance of Injection Molding Process by Using Cavity Pressure Monitoring Technology
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By Using SOM Network Visualization Methods for Diesel Engine Fault Diagnosis
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 694-697By Using SOM Network Visualization Methods for...

By Using SOM Network Visualization Methods for Diesel Engine Fault Diagnosis

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