A Decision Tree-based Live Induction Alarm Method for Substation Equipment
In order to improve safety and reliability of substation equipment operation and enable prompt response of alarm system to to abnormal operating conditions,a decision tree-based live induction alarm method for substation equipment was studied.First the live induction data of substation equipment were collected and preprocess.Second by extracting fea-ture vectors related to operational status and fault modes of substation equipment,a decision tree model was constructed to monitor the operational mode and status of substation equipment in real-time.Finally the alarm threshold was deter-mined to achieve real-time alarm for substation equipment faults.The experimental test results showed that the application of the proposed method achieved faster alarm response with average alarm time of less than 2 seconds.
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