Intelligent Prediction Method for the Service Status of Leakage Protectors in Water Conservancy Pump Stations under Strong Electromagnetic Interference Environment
Conventional intelligent prediction methods for the service status of leakage protectors primarily rely on the collection of service status signals. These methods, however, are susceptible to electromagnetic interference, leading to inaccuracies in the predictions. This paper presents an intelligent prediction method for the service status of leakage protectors in water conservancy pump stations under strong electromagnetic interference environment. A predictive space for the service status of leakage protectors in water conservancy pump stations is established. As the service age of the protector increases, this method can predict the occurrence of refusal to act, false action, and self-diagnostic fault statuses, meeting the operational requirements of the protector. When predicting the service status of leakage protectors in strong electromagnetic interference environment, the temporal domain is utilized. The interconnections between various components of the protector are obtained from the time and frequency domain signals of the service status, thereby ensuring the accuracy of the service status prediction. Comparative experiments demonstrate the higher prediction accuracy of this method, validating its practical applicability.
万方数据
维普
