Secondary circuit fault discrimination and model training method and device, equipment and medium

• Main Authors: FANG SHAOHUAI, WANG QUAN, JIANG JINGHE, HUANG YUANSHENG
• Format: Patent
• Language: Chinese; English
• Published: 01.03.2024
• Subjects: CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; MEASURING; MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES; PHYSICS; TESTING

The invention discloses a secondary circuit fault discrimination and model training method, device, equipment and medium, and the method comprises the steps: obtaining corresponding sample electric energy meter data and sample metering point information when the operation state of a secondary circuit is normal and different faults occur, and the sample electric energy meter data comprises a sample voltage value and a sample current value; performing normalization processing on the sample voltage value and the sample current value to correspondingly obtain a normalized sample voltage value and a normalized sample current value, and creating a sample fault discrimination feature vector by using the normalized sample current value and the normalized sample voltage value; and training the secondary circuit fault discrimination model by taking the sample fault discrimination feature vector as the training input of the secondary circuit fault discrimination model to be trained and guiding the training output of the