| abstract |
The present invention relates to the technical field of ultra-high harmonic detection, in particular to a method for detecting ultra-high harmonic transmission signals based on outlier detection, which comprises the following steps: 1. Input data and perform data preprocessing; 2. Determine the probability distribution model of the data set after preprocessing; 3. DBSCAN outlier detection: First, according to the change of the slope of the k-dist curve, adaptively determine the radius parameter Eps, then determine the minimum number of clustering points MinPts, and finally use the DBSCAN algorithm to cluster 4. Analysis of detection effect. The algorithm proposed by the invention accurately detects the emission conditions of the equipment at different frequency points, which is beneficial to analyze and study the emission characteristics of ultra-high harmonics. |