"Bearing dataset"

"This dataset is from the Rotating Machinery Fault Diagnosis Experimental Platform of Guangdong Polytechnic Normal University (GPNU). The GPNU dataset encompassed three types of individual fault modes, namely inner race fault, outer race fault, and rolling element fault, and two types of normal operating condition signals. In addition, this dataset included six types of compound faults. As detailed in Table I, the sampling frequency of the GPNU dataset was 10 kHz, and each fault category contained 400 samples."

本数据集取自广东技术师范大学（Guangdong Polytechnic Normal University，缩写GPNU）的旋转机械故障诊断实验平台（Rotating Machinery Fault Diagnosis Experimental Platform）。该GPNU数据集涵盖三类单一故障模式，分别为内圈故障（inner race fault）、外圈故障（outer race fault）与滚动体故障（rolling element fault），以及两类正常运行状态信号。此外，该数据集还包含六种复合故障（compound faults）类型。如表1所示，该数据集的采样频率（sampling frequency）为10 kHz，每类故障类别均包含400个样本。