import winfault
import warnings
import numpy as np
from sklearn.grid_search import GridSearchCV, RandomizedSearchCV
%matplotlib inline
Turbine = winfault.WT_data()
scada = Turbine.scada_data
# warnings suppressed because there's loads of UndefinedMetricWarnings
warnings.filterwarnings("ignore")
features = ['WEC_ava_windspeed',
'WEC_ava_Rotation',
'WEC_ava_Power',
'WEC_ava_reactive_Power',
'WEC_ava_blade_angle_A',
'Inverter_averages',
'Inverter_std_dev',
'CS101__Spinner_temp',
'CS101__Front_bearing_temp',
'CS101__Rear_bearing_temp',
'CS101__Pitch_cabinet_blade_A_temp',
'CS101__Pitch_cabinet_blade_B_temp',
'CS101__Pitch_cabinet_blade_C_temp',
'CS101__Rotor_temp_1',
'CS101__Rotor_temp_2',
'CS101__Stator_temp_1',
'CS101__Stator_temp_2',
import winfault
Enercon = winfault.WT_data()
all_faults_scada_data, feeding_fault_scada_data, \
mains_failure_fault_scada_data, aircooling_fault_scada_data, \
excitation_fault_scada_data, generator_heating_fault_scada_data = \
Enercon.get_all_fault_data()
features = [
'WEC_ava_windspeed',
'WEC_ava_Rotation',
'WEC_ava_Power',
# 'WEC_ava_Nacel_position_including_cable_twisting',
'WEC_ava_reactive_Power',
'WEC_ava_blade_angle_A',
'Inverter_averages',
'Inverter_std_dev',
'CS101__Spinner_temp',
'CS101__Front_bearing_temp',
'CS101__Rear_bearing_temp',
'CS101__Pitch_cabinet_blade_A_temp',
'CS101__Pitch_cabinet_blade_B_temp',
'CS101__Pitch_cabinet_blade_C_temp',
'CS101__Rotor_temp_1',
'CS101__Rotor_temp_2',
'CS101__Stator_temp_1',
'CS101__Stator_temp_2',
'CS101__Nacelle_ambient_temp_1',
'CS101__Nacelle_ambient_temp_2',
'CS101__Nacelle_temp',