Detection of magnetic flux leakage of choke adaptive transformer winding based on matrix decomposition

Because of the uneven distribution of magnetic flux leakage intensity of transformer windings, the test results are prone to large errors. Therefore, a magnetic leakage detection method of choke adaptive transformer winding based on matrix decomposition is proposed. The optimal coding matrix is constructed by multi-layer clustering algorithm, and the type of magnetic leakage of choke adaptive transformer winding is than obtained. Matrix decomposition method is used to calculate the magnetic induction intensity data of choke adapter transformer winding after magnetic leakage, and magnetic induction intensity measurement points are arranged according to the magnetic induction intensity data post-magnetic leakage, so as to realize the magnetic leakage detection of choke adapter transformer winding. The simulation results show that the proposed method can accurately detect magnetic leakage points, reduce the detection delay, and has a wide range of applications.