工业设备振动监测通识数据集

本数据集为工业设备振动监测通识版，覆盖电机、泵、风机、空压机、减速机等典型旋转机械，包含正常、不平衡、不对中、松动、轴承故障、齿轮故障等常见故障模式。提供设备元数据、工况参数、振动特征（速度有效值、峭度、1X/2X幅值、轴承特征频率幅值等）及故障标签。适用于振动监测入门教学、故障模式识别训练、特征提取验证及轻量级AI诊断模型开发。This dataset is a general-purpose resource for industrial equipment vibration monitoring. It covers typical rotating machinery including motors, pumps, fans, air compressors, gear reducers, and encompasses common failure modes such as normal operating states, unbalance, misalignment, looseness, bearing faults, and gear faults. The dataset provides equipment metadata, operating condition parameters, vibration features (e.g., root mean square (RMS) of velocity, kurtosis, 1X/2X amplitude, amplitude of bearing characteristic frequencies), and failure labels. It is applicable to introductory teaching of vibration monitoring, training for fault pattern recognition, feature extraction validation, and development of lightweight AI-based diagnostic models.

搜集汇总

背景与挑战

背景概述

该数据集聚焦工业设备振动监测，覆盖电机、泵、风机等典型旋转机械的正常与多种故障状态。它提供了设备元数据、工况参数、振动特征及故障标签，适用于振动监测教学、故障识别模型训练和特征提取验证等场景。