Remote diagnosis method and device of power equipment and storage medium

The invention discloses a remote diagnosis method and device for power equipment and a storage medium. The method comprises the following steps: collecting target detection data of at least one target detection point on the power equipment through a target sensor arranged at the detection point; equ...

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Hauptverfasser: LI JIANLIANG, WEI WULIN, CHEN ZHIHUA, CHEN JIANWEN, XU JIANGYI, ZHONG WEN, HUANG YUANDONG, LIANG QINGHUA, WU YANPING, ZHANG FAN, DU HUI, LIANG HUI, PAN SHIJU, YANG GUOJUN, MOU JUNLIN, ZHANG GUOXIONG
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creator LI JIANLIANG
WEI WULIN
CHEN ZHIHUA
CHEN JIANWEN
XU JIANGYI
ZHONG WEN
HUANG YUANDONG
LIANG QINGHUA
WU YANPING
ZHANG FAN
DU HUI
LIANG HUI
PAN SHIJU
YANG GUOJUN
MOU JUNLIN
ZHANG GUOXIONG
description The invention discloses a remote diagnosis method and device for power equipment and a storage medium. The method comprises the following steps: collecting target detection data of at least one target detection point on the power equipment through a target sensor arranged at the detection point; equipment abnormal data are determined based on the target detection data and a preset abnormal detection model, and the preset abnormal detection model comprises an isolated forest model; the abnormal reason corresponding to the power equipment is determined based on the equipment abnormal data and a pre-established diagnosis library, the incidence relation between the equipment abnormal data and the abnormal reason is stored in the diagnosis library, the abnormal reason diagnosis efficiency and accuracy of the power equipment are improved, and the safety of the power equipment is improved. 本发明公开了一种电力设备的远程诊断方法、装置及存储介质。该方法包括:通过设置于电力设备上至少一个目标检测点位的目标传感器采集所述检测点位的目标检测数据;基于所述目标检测数据和预设异常检测模型确定设备异常数据,其中,所述预设异常检测模型包括孤立森林模型;基于
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The method comprises the following steps: collecting target detection data of at least one target detection point on the power equipment through a target sensor arranged at the detection point; equipment abnormal data are determined based on the target detection data and a preset abnormal detection model, and the preset abnormal detection model comprises an isolated forest model; the abnormal reason corresponding to the power equipment is determined based on the equipment abnormal data and a pre-established diagnosis library, the incidence relation between the equipment abnormal data and the abnormal reason is stored in the diagnosis library, the abnormal reason diagnosis efficiency and accuracy of the power equipment are improved, and the safety of the power equipment is improved. 本发明公开了一种电力设备的远程诊断方法、装置及存储介质。该方法包括:通过设置于电力设备上至少一个目标检测点位的目标传感器采集所述检测点位的目标检测数据;基于所述目标检测数据和预设异常检测模型确定设备异常数据,其中,所述预设异常检测模型包括孤立森林模型;基于</abstract><oa>free_for_read</oa></addata></record>
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subjects 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 NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE
MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
PHYSICS
TARIFF METERING APPARATUS
TESTING
title Remote diagnosis method and device of power equipment and storage medium
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