Random Forest Algorithm based on Life Assessment and Reliability Test Procedures for Relays used in Circuit Breaker Operating Mechanisms

The essential parts of the circuit breaker working system is the relay which is susceptible to performance deterioration when operating in extreme conditions like salt spray. This can eventually impair the circuit breakers functionality and compromise the power system's ability to function effectively and consistently. This study used an existing test structure to conduct rapidly deteriorating tests on a specific design of additional switch under salt spray in order to assess the relay's lifetime condition effectively. As distinctive parameters impacted by salt spray, contact resistance, pickup voltage, release voltage, pickup time, release time and coil resistance of the relay were examined. The results demonstrated that the presence of salt spray reduced the coil effectiveness of the relay, necessitating a higher operating voltage in order to supply the electromagnetic force required for functioning. Moreover, actual and predicted lifetime from individual parameter is calculated. However, coil deterioration also led to a reduction in the electromagnetic force that the step voltage produced, which lengthened the operating period. A Random Forest algorithm model was then created that was appropriate for determining the relay status in this investigation. The existing Gradient Boosting, XGBoost algorithm is compared with proposed method to analyze the performance metrics such as accuracy, precision, recall, F1-score, R2 score, specificity, sensitivity, Root Mean Square Error (RMSE) and Mean Absolute Error (MAE) is determined.