SCA bearing dataset

The dataset contains vibration measurements from a pulp mill collected between 2019 and the end of 2022 that describe different health states of bearings. It comprises 11 cases each, except case 11, describing a bearing fault before the bearing was changed. Case 11 contains a fault that is not related to the bearing which can be used to test the tendency of methods to generate false alarms. Each case includes two files: one with normal data called “train” and one with only a fault or both a fault and normal data depending on fault development time named “test”. The files contain approximately four months of data with one or more measurements per day. The files are in .mat format and include the vibration data, sampling rate, bearing type, the fault frequency of each bearing, the time for each measurement, the rotating speed of the shaft and the labels. The possible values of the label are -1, which means that the machine is off or that the speed data of the shaft is missing, 0 for normal conditions, 1 for inner ring fault, 2 for ball fault and 3 for outer ring fault. For more information, we refer to the published article. When referring to this dataset, please consider citing both the article and the dataset.

Note regarding version 2:
We discovered that the non-bearing related fault scenario (case 11) might not be related to any fault in the equipment. Because of this, we decided to change it to a confirmed fault scenario diagnosed as shaft misalignment. Since this change is not related to the bearing fault scenarios and the labelling is set to 0 for both versions 1 and 2 it should have no impact on research that has used the dataset for bearing fault diagnosis.

本数据集包含2019年至2022年末某纸浆厂采集的振动测量数据，用于表征轴承的不同健康状态。本数据集共包含11组测试场景，除第11组外，其余各组均对应轴承更换前的轴承故障。第11组包含与轴承无关的故障，可用于测试各类方法产生误报警的倾向。

每组场景包含两个文件：其一为仅包含正常工况数据的"train"文件；其二为仅含故障数据，或根据故障发展时间同时包含故障与正常数据的"test"文件。每个文件包含约四个月的采集数据，每日可获取一次或多次测量值。

文件采用.mat格式存储，包含振动数据、采样率、轴承型号、各轴承的故障特征频率、单次测量的时间戳、轴转速以及标签。标签的可选取值如下：-1代表设备停机或轴转速数据缺失；0代表正常工况；1代表内圈故障；2代表滚动体故障；3代表外圈故障。

如需获取更多细节，请参阅已发表的相关论文。引用本数据集时，请同时引用该论文与本数据集本身。

关于版本2的说明：
我们发现原第11组的非轴承相关故障场景可能与设备的任何故障均无关，因此将其调整为经诊断确认的轴不对中故障场景。由于此次调整仅涉及非轴承故障场景，且版本1与版本2的标签取值均为0，因此不会对使用本数据集开展轴承故障诊断的相关研究产生任何影响。