Distribution network fault studying and judging method based on artificial intelligence
The invention discloses a distribution network fault research and judgment method based on artificial intelligence, and the method comprises the steps: S1, obtaining original data, and carrying out the preprocessing of the original data; s2, storing the preprocessed data into a database; s3, establi...
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creator | ZHANG PENG XIE HAINING WANG QIN CHEN RAN CAI XINCHEN LU JIAN |
description | The invention discloses a distribution network fault research and judgment method based on artificial intelligence, and the method comprises the steps: S1, obtaining original data, and carrying out the preprocessing of the original data; s2, storing the preprocessed data into a database; s3, establishing a learning machine model, inputting the data into the learning machine model to train the model, and obtaining a tripping event judgment model; inputting into a learning machine model to train the model to obtain a tripping event judgment model; and S4, evaluating the performance of the tripping event judgment model by using a k-fold cross validation method, and adjusting the tripping event judgment model according to a result. By introducing an artificial intelligence technology, approximate reasoning and linguistic variables in human thinking can be fully simulated to express expert experience, and self-learning and diagnosis algorithm logic adjustment can be continuously performed based on increase of hist |
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subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
title | Distribution network fault studying and judging method based on artificial intelligence |
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