齿轮箱健康监测系统开发与故障诊断数据集

齿轮箱健康监测系统开发与故障诊断数据集主要面向深度学习数字孪生的故障诊断算法，齿轮箱健康监测系统的开发和故障信号仿真与实验开展，主要数据包括故障诊断算法的构建与验证，齿轮健康系统架构的搭建、数据库的设计、通讯协议设计、客户端实现。搭建齿轮箱故障采集实验台，采集了齿轮箱故障信号，得到时域仿真信号和频谱图，与仿真数据进行对比。

This dataset for gearbox health monitoring system development and fault diagnosis is primarily targeted at fault diagnosis algorithms based on deep learning-powered digital twins, supporting the development of gearbox health monitoring systems as well as the conduction of fault signal simulation and related experiments. The dataset covers the construction and validation of fault diagnosis algorithms, the establishment of gearbox health monitoring system architecture, database design, communication protocol design, and client-side implementation. A dedicated gearbox fault data acquisition test bench was built to collect gearbox fault signals, and time-domain simulation signals and spectrograms were obtained for comparison with simulated data.

搜集汇总

背景与挑战

背景概述

该数据集专注于齿轮箱健康监测系统开发与故障诊断，结合深度学习数字孪生技术，提供故障诊断算法的构建与验证、系统架构设计以及实验采集的故障信号数据。数据集包括时域仿真信号和频谱图，并与仿真数据对比，支持机械工程领域的故障诊断研究，数据量约391.21MB，共111个文件，来自浙江大学的国家重点研发计划项目。