故障齿轮原位振动信号数据集

数据内容为不同故障齿轮在400rpm、800rpm、1200rpm工况下的原位振动信号。基于KEIL软件对自主设计的原位智能感知终端采集板进行嵌入式开发。通过将原位智能感知终端安装在齿轮箱内部小齿轮端面上采集不同剥落故障齿轮（正常、剥落2.5%、剥落5%、剥落7.5%、磨损、裂纹、断齿）进行不同工况下（400rpm、800rpm、1200rpm）的原位振动信号采集，将采集到的进行收集整理后得到本数据集。

This dataset consists of in-situ vibration signals of defective gears under three operating speeds: 400 rpm, 800 rpm, and 1200 rpm. Embedded development was conducted on the self-designed in-situ intelligent sensing terminal acquisition board using KEIL software. The terminal was mounted on the end face of the pinion inside the gearbox to collect in-situ vibration signals of gears with various fault states including normal, 2.5% spalling, 5% spalling, 7.5% spalling, wear, crack and tooth breakage under the three operating conditions. The collected raw data was then sorted and organized to form this dataset.

搜集汇总

背景与挑战

背景概述

该数据集包含多种故障齿轮在三种转速工况下的原位振动信号，通过嵌入式开发的原位智能感知终端采集。数据涵盖了正常、剥落、磨损、裂纹和断齿等故障类型，用于支持齿轮传动系统的智能运维研究。