背景技术旋转机器通常在各种操作条件下操作。然而,数据的特征随它们的操作条件而变化。本文介绍了时间序列数据集,包括振动,声学,温度,并在不同的操作条件下驱动旋转机器的电流数据。数据集是使用四个基于陶瓷剪切ICP的加速度计获得的,一个麦克风,两个热电偶,和三个基于国际标准化组织(ISO)标准的电流互感器(CT)。旋转机器的条件包括正常,轴承故障(内圈和外圈),轴错位,在三种不同的转矩负载条件下(0Nm,2Nm,和4Nm)。本文还报告了在不同速度条件下(680RPM至2460RPM)滚动元件轴承的振动和驱动电流数据集。建立的数据集可用于验证最新开发的旋转机械故障诊断方法。Mendeley数据。DOI:10.17632/ztmf3m7h5x.6,DOI:10.17632/vxkj334rzv.7,DOI:10.17632/x3vhp8t6hg.7,DOI:10.17632/j8d8pfkvj2.7。
Rotating machines are often operated under various operating conditions. However, the characteristics of the data varies with their operating conditions. This article presents the time-series dataset, including vibration, acoustic, temperature, and driving current data of rotating machines under varying operating conditions. The dataset was acquired using four ceramic shear ICP based accelerometers, one microphone, two thermocouples, and three current transformer (CT) based on the international organization for standardization (ISO) standard. The conditions of the rotating machine consisted of normal, bearing faults (inner and outer races), shaft misalignment, and rotor unbalance with three different torque load conditions (0 Nm, 2 Nm, and 4 Nm). This article also reports the vibration and driving current dataset of a rolling element bearing under varying speed conditions (680 RPM to 2460 RPM). The established dataset can be used to verify newly developed state-of-the-art methods for fault diagnosis of rotating machines. Mendeley Data. DOI:10.17632/ztmf3m7h5x.6, DOI:10.17632/vxkj334rzv.7, DOI:10.17632/x3vhp8t6hg.7, DOI:10.17632/j8d8pfkvj2.7.