README.md
Project description
Introduction
The py-cwru is a bearing fault diagnosis dataset and all pythonic, which can be applied to Deep Learning, Transfer Learning and Semi-Supervised Learning (domain adaptation), etc.. Original data comes from the official bearing vibration data of Western Reserve University [1]. The data is based on the original vibration data without repeated segmentation (the sampling window lengthis equal to hop length) and is provided in numpy.Array format.
Although the original '*. mat' file can be downloaded automatically at the first call of py-cwru, we still recommend you, for possible time consumption and transmission interruption, manually download the dataset file through the link below:
Download Link:https://pan.xunlei.com/s/VNNBE0GiGHD5r5_l4BsYOTP-A1?pwd=3syk#
Extraction code:3syk
You may need to reorganize file path if you download from the official file:
Cwru
12DriveEndFault
1797
12DriveEndFault
1797
0.007-Ball.mat
..........
NormalBaseline
1797
.........
12FanEndFault
......
48DriveEndFault
Our code refers to [Litchiware/cwru (github.com)] and modifies a bit of impractical code.
[1] https://engineering.case.edu/bearingdatacenter/download-data-file.
Example
cwru = CWRU(exp='12DriveEndFault', rpm='1797', length=1024, root=r'.')
train_x, train_y = cwru.x, cwru.y
print(train_x.shape, train_y.shape)
print(type(train_x))
--------
(2013, 1024) (2013,)
<class 'numpy.ndarray'>
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