A remote intelligent line inspection method for transmission lines
A transmission line and remote technology, which is applied in the field of remote monitoring, can solve the problems such as the inability to realize the intelligent line inspection of transmission lines, and achieve the effect of reasonable and effective fault handling scheme, avoiding difficulty, and avoiding the waste of electric energy
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[0046] As a preferred implementation, the monitoring image defect identification method further includes an incremental learning step, performing incremental learning during the classification and judgment process, and continuously optimizing the classification surface. Store the support vectors obtained in the initial training of the feature vector library (in the process of SVM classification and judgment, the feature vectors that meet the KKT condition constraints, that is, the feature vectors that meet the Y(i)*f(Xi)>=1 condition are support vectors, Y (i) indicates the category to which the sample belongs, f(Xi) indicates the classification surface function) to form a feature library; after the monitoring picture is input into the SVM classifier for classification and judgment, manually identify whether the classification result is correct, and if the classification is correct, proceed to the next monitoring classification of images. If the classification is wrong, it is ...
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