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Multi -label classification model based on KNN Bayesian method
Release time: 20:49, July 08, 2022    Author:    点击:[]

This team published a paper on IEEE TRANSACTIONS on Industry Application (SCI) in 2021. The paper published the paper. F Single-Phase-TO-GROUND M88 Online Live CasinoFAULT BASED on Knn- Bayesian Method (Multi -label Classification Model Based on the Knn Bayesian Method)。

  In a non -solid ground distribution network,Single -phase ground fault seriously threatened the safety of personal and equipment。Although the selection and positioning technology of existing fault lines is decreasingspgf2765_2782spgfDetective and maintenance efficiency is low,There is still a certain power loss。spgf3046_3069,This paper proposes a kind of use for identificationspgfType M88 Online Live Casinomulti -tag classification model。This model considers the continuity of time domain、Time Domain Stability、Transition impedance voltage、Transition impedance size and fault point medium5A dimension pairspgfClassified。Subsequent,Determine the corresponding features。other,Use8-DFeature space and14-Tags The type of fault type is builtspgfMulti -label classification model. Finally, designed a kind ofkNear neighboring Bayesian method to solve m88 com live casino registermultiple label classification problems。Use on -site data and andknnMethod for comparison,Verify the feasibility and superiority of the model and method。

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Figure1 Resonant ground system single -phase ground failure equivalent circuit

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Figure2 Different causes of failure caused by the cause of the failure caused by the failure of the fault


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