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Rolling bearing fault diagnosis data set
- Citation Author(s):
- Submitted by:
- Min Wu
- Last updated:
- Mon, 05/27/2024 - 10:29
- DOI:
- 10.21227/w41e-9y33
- License:
303 Views- Categories:
- Keywords:
Abstract
The data set is from the Case Western Reserve University Rolling Bearing data set. SK6205 bearing located at the drive end is selected as the research object, and the acquisition frequency is 12KHz. The fault type is divided into three types, namely inner ring fault, rolling body fault and outer ring fault, and each fault type is divided into three fault sizes: 0.007, 0.014 and 0.021 inches.The length of each sample is 1024 and the repetition rate is 50%
One row in each dataset represents a sample, each sample has 1024 data points, and the last column in the dataset is the label corresponding to the sample. The data set row_data_80_0.csv is used as an example to describe a data set with 80 training samples. In this training data set, there are eight samples in each fault state. This is true for the rest of the row_data_ dataset. selected_data.csv represents the test set. There are 1200 samples in the test set and 120 samples in each fault state.
Comments
d
need the data for project in university
Need data for project in university