cwru-data-py3

Describe:

Automatically download the cwru data set, and then divide it into training data set and test data set.
Data is not enhanced.

python3.6, cwrudataset

自动下载cwru数据集，然后分训练数据集和测试数据集。
数据并为作增强处理

How to use it?

from cwru_data_py3 import CWRU
from sklearn.ensemble import RandomForestClassifier
data = CWRU.CWRU("12DriveEndFault", "1797", 1024, -1)
X_train, y_train, X_test, y_test = data.X_train, data.y_train, data.X_test, data.y_test
##   rf_model  随机森林模型
rf_model = RandomForestClassifier(n_estimators= 300, max_features = "sqrt", n_jobs = -1, random_state = 38)
rf_model.fit(X_train, y_train)

Arguments

CWRU has four arguments:

• exp: experiment, supporting “12DriveEndFault”, “12FanEndFault”, “48DriveEndFault”
• rpm: rpm during testing, supporting ‘1797’, ‘1772’, ‘1750’, ‘1730’
• length: length of the signal slice, namely X_train.shape[1]
• directory： -1 means parent_dir， 1 means current_dir

  -1 means
  ---you_project_name
     ---A.py
  ---DataSet/XXX
   1 means 
   ---you_project_name
      ---A.py
      ---DataSet/

thanks

Litchiware

GitHub

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