直升机关键部件故障模拟数据

本数据集主要面向物理知识与运行数据驱动的重大装备异常检测与故障诊断研究，通过多组典型健康状态的故障注入实验，采用相应传感器和测试设备采集关键测点处的振动信号,实验获取和分析行星齿轮箱在不同工况、不同健康状态下的振动信号，其中健康状态包括行星齿轮的断齿100%、行星齿轮的断齿50%、太阳齿轮断齿50%、太阳轮断齿25%及正常五种故障模式。This dataset is primarily aimed at research on anomaly detection and fault diagnosis of major heavy-duty equipment driven by physical knowledge and operational data. It is constructed through multiple sets of fault injection experiments under typical healthy states, where vibration signals at key measurement points are collected using matching sensors and testing equipment. The experiments acquire and analyze vibration signals of planetary gearboxes under various operating conditions and different health states. Among these, the health states cover five fault modes: 100% tooth breakage of planetary gears, 50% tooth breakage of planetary gears, 50% tooth breakage of sun gears, 25% tooth breakage of sun gears, and the normal healthy state.

搜集汇总

背景与挑战

背景概述

该数据集为直升机关键部件故障模拟数据，包含行星齿轮箱在不同工况和健康状态下的振动信号，涵盖五种故障模式，数据量为2.53GB，格式为mat和docx。数据集主要用于重大装备异常检测与故障诊断研究。