Study on Abrasion Fault Synthesis Intelligence Diagnosis Model Based on Ferrography
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The of mechanical equipment plays an important role in its faults and maintenance. Based on ferro-graphy an optimization identifying method combining the gray correlation coefficient model with BP neural network model of debris recognition is presented in the paper. Tests and application proved that the combination model is superior to either model and enhance the predicted precision.