Classification of the Insulator Inspection Data by Acoustic Vibration Based on BP Neural Network

For the convenience of reading the data of the insulator inspection by the acoustic vibration , the method in grouping testing data is proposed by using the BP neural network. By classifying the 128 groups of detection results ,the average accuracy of classification has achieved 93.5%. The BP neural network of classifying the results of insulator inspection has been proved to be an effective and practical method.