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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