SF6 electrical equipment fault diagnosis method and system

The invention discloses an SF6 electrical equipment fault diagnosis method and system. The method comprises the following steps: acquiring operation data of specified SF6 electrical equipment; and inputting the collected operation data of the SF6 electrical equipment into the constructed multi-scale...

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Bibliographische Detailangaben
Hauptverfasser:	GUAN LIANHUI, LI XIN, LIU CHUNSHENG, OU JINGRU, LI HONGFENG, SUN HAO, FENG TAO, ZHAO ZHENXI, ZHANG DONG, CHENG SIJIN, YANG JINRUI, ZHENG CUNLONG, GUO YUFU, SHAN CHANGWANG
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVEREDIN A SINGLE OTHER SUBCLASS CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING MEASURING MEASURING ELECTRIC VARIABLES MEASURING MAGNETIC VARIABLES MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR PHYSICS TARIFF METERING APPARATUS TESTING
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Beschreibung
Zusammenfassung:	The invention discloses an SF6 electrical equipment fault diagnosis method and system. The method comprises the following steps: acquiring operation data of specified SF6 electrical equipment; and inputting the collected operation data of the SF6 electrical equipment into the constructed multi-scale convolutional neural network model, and outputting the fault type of the specified SF6 electrical equipment. According to the invention, dependence on artificial experience in SF6 electrical equipment fault diagnosis is avoided, and the safety and reliability of SF6 electrical equipment fault diagnosis are improved. 本发明公开了一种SF6电气设备故障诊断方法及系统，所述方法包括：采集指定SF6电气设备的运行数据；将采集的SF6电气设备的运行数据输入构建的多尺度卷积神经网络模型，输出指定SF6电气设备的故障类型。本发明避免了SF6电气设备故障诊断中对人工经验的依赖，提高了SF6电气设备故障诊断的安全性和可靠性。