Power supply fault position prediction method and device based on big data analysis

• Main Authors: LEI JIUHUAI, YAO DAO, LIAO YIHUA, CHEN GUANGLI, LIANG YUANYUAN, PAN SHAOCI, HUANG QINGJUN
• Format: Patent
• Language: Chinese; English
• Published: 26.11.2021
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; MEASURING; MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES; PHYSICS; TESTING

The invention discloses a power supply fault position prediction method and device based on big data analysis, and the method comprises the steps: receiving multi-source heterogeneous signal data collected by each node sensor disposed on each node of a power supply; preprocessing the multi-source heterogeneous signal data to obtain preprocessed multi-source heterogeneous signal data; performing feature extraction processing on the preprocessed multi-source heterogeneous signal data to obtain signal extraction features; inputting the signal extraction features into a fault diagnosis model for fault diagnosis processing, and outputting fault information corresponding to the signal extraction features; and based on the fault information corresponding to the signal extraction features, performing fault position prediction processing on the fault information by using the correlation degree among the multi-source heterogeneous signal data to obtain a power supply fault position. In the embodiment of the invention,