CWRU Bearing Dataset

该数据集包含了在四种工作条件下，不同负载和速度下的轴承故障数据，其中包括正常工作条件以及不同类型的轴承故障。此外，该数据集利用加速度传感器以12kHz的采样频率收集，涵盖了四种故障类型和三种故障严重程度。规模上，数据集包含了在四种操作条件下十种轴承健康状态的数据，其任务是对轴承进行故障诊断。

This dataset contains bearing fault data collected under varying loads and rotational speeds across four operating conditions, including both normal operational states and diverse bearing fault types. The data was acquired using accelerometers at a sampling frequency of 12 kHz, covering four fault types and three severity levels. In terms of scale, the dataset includes data for ten bearing health states under the four operating conditions, with the core task being bearing fault diagnosis.

搜集汇总

背景与挑战

背景概述

CWRU轴承数据集是一个用于故障诊断的振动数据集，通过实验引入不同直径（7至40密耳）的轴承单点故障，并采集12,000和48,000样本/秒的振动信号。数据以Matlab格式存储，涵盖驱动端和风扇端轴承，并考虑了外圈故障位置对负载区的影响，适用于机械状态监测和故障预测研究。