Research on Defect Recognition Technology of Vibro-Acoustic Detection Signal for Porcelain Pillar Insulators Based on XGBoost Algorithm
In order to solve the problem of misjudgment in the frequency spectrum analysis of vibro-acoustic detection signals for porcelain pillar insulators,this paper proposes a defect recognition method for vibro-acoustic detection signals for porcelain pillar insulators based on XGBoost algorithm.From twenty-eight time-domain features,power density spectrum features and wavelet domain features,the fourteen features are extracted according to their importance as the basis for defect recognition,and the defect recognition model of porcelain pillar insulator vibro-acoustic detection signals is trained.The results show that the accuracy rate is 95.83%when the model is used to classify and identify the defects of vibro-acoustic detection signals of porcelain pillar insulators,achieving a good defect recognition effect.The XGBoost algorithm is applied to on-site signal recognition,with an accuracy rate of 96.6%,which can meet the needs of the engineering application.
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维普
