输电线路故障数据集(基于simulink仿真批量生成故障数据，单相接地故障、两相接地故障、两相间短路故障、三相接地故障、三相间短路故障和正常)

分别获取单相接地故障、两相接地故障、两相间短路故障、三相接地故障、三相间短路故障和正常状态下的电流（Ia,Ib,Ic）大小和电压（Ua,Ub和Uc）大小。每种故障下获取1300行左右的数据

将故障区分为具体的不同类型（一共五种），再算上正常的状态，因此是六分类。这里随意举出每种类别的两个样本进行展示。

G	C	B	A	Ia	Ib	Ic	Va	Vb	Vc
1	0	0	1	-151.2918124	-9.677451563	85.80016226	0.400749853	-0.132934945	-0.267814907
1	0	0	1	-336.1861826	-76.28326195	18.32889658	0.312731934	-0.123633156	-0.189098779

1	0	1	1	-343.4870147	104.5627513	3.794285309	0.272042501	0.011317575	-0.283360076
1	0	1	1	-339.1254001	105.4293167	-0.267241225	0.27782054	0.021756839	-0.299577378

0	1	1	0	19.38615173	-785.553797	768.7279081	-0.210406869	-0.0020112	0.212418069
0	1	1	0	18.47841651	-783.8619173	767.9410527	-0.217651204	-0.00260451	0.220255714

0	1	1	1	506.5917463	374.8825788	-879.344997	0.042029705	-0.025636401	-0.016393305
0	1	1	1	495.1384715	387.4159615	-880.4253096	0.042107683	-0.025103056	-0.017004627
1	1	1	1	-89.03263152	-732.8168572	821.9123732	-0.036759479	0.005234219	0.03152526
1	1	1	1	-75.8022885	-740.3563342	816.2199695	-0.03680063	0.004685917	0.032114713

0	0	0	0	10.54618626	79.38231464	-93.21467968	-0.537644345	0.548591338	-0.010946993
0	0	0	0	9.590940965	80.11550744	-92.99814299	-0.542390522	0.543819429	-0.001428907

数据表格（开始位置）

数据表格（截止位置） 

 

对数据感兴趣的可以关注最后一行

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import warnings
 
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import LabelEncoder
from sklearn.neural_network import MLPClassifier

#数据:https://mbd.pub/o/bread/ZJ6VmZ5t