Cable joint monitoring method and system based on multi-dimensional data integration
The invention discloses a cable joint monitoring method and system based on multi-dimensional data integration, and belongs to the technical field of cable joint monitoring. Comprising the following steps: acquiring a real-time high-frequency partial discharge signal, real-time current information a...
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creator | YUAN MEIYING YANG ZHENWEI LIU ZHIMING |
description | The invention discloses a cable joint monitoring method and system based on multi-dimensional data integration, and belongs to the technical field of cable joint monitoring. Comprising the following steps: acquiring a real-time high-frequency partial discharge signal, real-time current information and real-time operating temperature of a cable joint; inputting the real-time high-frequency partial discharge signal, the real-time current information and the real-time operation temperature into a preset cable joint fault prediction model for processing to obtain a cable joint fault prediction result; according to the type of the abnormal monitoring data and the environment data, adaptively generating an auxiliary influence weight corresponding to the abnormal monitoring data; and obtaining a cable joint fault prediction result according to the auxiliary influence weight and the abnormal monitoring data. Multi-means, multi-dimensional and full-path real-time monitoring and evaluation can be carried out on the cab |
format | Patent |
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Comprising the following steps: acquiring a real-time high-frequency partial discharge signal, real-time current information and real-time operating temperature of a cable joint; inputting the real-time high-frequency partial discharge signal, the real-time current information and the real-time operation temperature into a preset cable joint fault prediction model for processing to obtain a cable joint fault prediction result; according to the type of the abnormal monitoring data and the environment data, adaptively generating an auxiliary influence weight corresponding to the abnormal monitoring data; and obtaining a cable joint fault prediction result according to the auxiliary influence weight and the abnormal monitoring data. 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Comprising the following steps: acquiring a real-time high-frequency partial discharge signal, real-time current information and real-time operating temperature of a cable joint; inputting the real-time high-frequency partial discharge signal, the real-time current information and the real-time operation temperature into a preset cable joint fault prediction model for processing to obtain a cable joint fault prediction result; according to the type of the abnormal monitoring data and the environment data, adaptively generating an auxiliary influence weight corresponding to the abnormal monitoring data; and obtaining a cable joint fault prediction result according to the auxiliary influence weight and the abnormal monitoring data. Multi-means, multi-dimensional and full-path real-time monitoring and evaluation can be carried out on the cab</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES MEASURING MEASURING ELECTRIC VARIABLES MEASURING MAGNETIC VARIABLES MEASURING QUANTITY OF HEAT MEASURING TEMPERATURE PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR TESTING THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR |
title | Cable joint monitoring method and system based on multi-dimensional data integration |
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