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 different 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 methods' tendency to generate false alarms. Each case contains 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, the fault frequency of each bearing, the time for each measurement, the rotating speed of the shaft and the labels. Each data file contains, apart from the raw data, the time of measurement, the fault frequencies of the bearing, the rotating speed of the shaft and a label. 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 citing this dataset, please cite both the article and the dataset.

本数据集涵盖2019年至2022年末从某纸浆厂采集的振动测量数据，用于表征轴承的各类健康状态。数据集共包含11组工况案例，其中除第11组外，其余各组均对应轴承更换前存在故障的工况；第11组案例的故障与轴承本身无关，可用于测试算法产生误报警的倾向性。每组案例包含两个数据文件：其一为正常工况数据，命名为“train”；其二为仅含故障数据，或根据故障发展时序同时包含故障与正常数据的文件，命名为“test”。每份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。所有文件均采用.mat格式，内含原始振动数据、各轴承的故障特征频率、每次测量的时间戳、转轴转速以及标签信息。标签的可选取值如下：-1表示设备停机或转轴转速数据缺失，0代表正常工况，1为轴承内圈故障，2为滚珠故障，3为轴承外圈故障。更多详细信息可参考已发表的学术论文。引用本数据集时，请同时引用该学术论文与本数据集本身。

搜集汇总

背景与挑战

背景概述

SCA bearing dataset是一个从纸浆厂收集的轴承振动测量数据集，涵盖2019年至2022年的数据，用于描述轴承的不同健康状态。数据集包含11个案例，每个案例提供正常和故障数据（.mat格式），并标注了详细的故障类型标签（如内圈、球、外圈故障），其中案例11在版本2中被确认为轴不对中故障，可用于测试误报倾向。