Research on a status assessment model for magnetically controlled switches based on abnormal data classification

In recent years， several improper closing incidents of magnetically controlled switches have occurred in a certain region， significantly affecting the supply reliability of the power grids. To accurately assess the operational status of magnetically controlled switches and ensure the safe and stable operation of the power grid， a status assessment model based on abnormal data classification is proposed. First， abnormal data of the magnetically controlled switches is classified and quantified to construct anomaly type matrices. Next， the weight parameters of anomaly type matrices are determined by the analytic hierarchy process （AHP）. Finally， the state assessment model of the magnetically controlled switches is built using the anomaly type matrices and weight parameters， and the risk level of the switches is classified based on a risk index. The status of 135 magnetically controlled switches in operation in a certain area is evaluated， and the results show that the proposed assessment model and risk index classification method can accurately reflect the operational status of the switches， providing an intuitive indication of their risk level and offering scientific support for the development of maintenance strategies.