Fault Feature Recognition of Transmission Lines Based on Laplacian Algorithm of Unforced Vibration Frequency

The traditional fault feature recognition method for transmission lines mainly relies on gradient boosting decision trees (GBDT) for gradual decomposition and prediction. However, this method is easily limited by preset conditions, resulting in poor feature recognition performance. Therefore, a Laplace algorithm based on non forced vibration frequency is proposed for fault feature identification of transmission lines. This algorithm classifies the fault characteristics of transmission lines and constructs a fault feature recognition detector to effectively identify fault features. Experimental verification shows that the designed fault feature recognition method for transmission lines exhibits excellent recognition performance, high reliability, and practical application potential, making positive contributions to the safe operation of transmission lines and the improvement of power supply and distribution quality.