变速箱在可变工作条件下的多模式故障诊断数据集
Shijin Chen1, Zeyi Liu2, Xiao He2
1MCC5 Group Shanghai Co. LTD, 201900, ShangHai, China.
Data in brief
|May 7, 2024
概括
本研究介绍了在可变条件下用于变速箱故障诊断的振动数据集. 这些数据集有助于开发和测试用于准确识别轮和轴承故障的新方法.
科学领域:
- 机械工程 机械工程
- 状态监控 状态监控
- 信号处理 信号处理
背景情况:
- 变速箱在机电系统中至关重要,但多次故障会降低准确性和寿命.
- 振动信号有效地表明变速箱的运行状态和故障.
- 使用振动信号在变速和负载下诊断变速箱故障是具有挑战性的.
研究的目的:
- 呈现各种故障类型和严重程度的变速箱的全面振动数据集.
- 促进新型变速箱故障诊断技术的开发和验证.
- 为应对在动态操作条件下故障诊断的挑战.
主要方法:
- 在轮和轴承中手动植入各种故障 (缺失的牙,磨损,插孔,裂,断牙)
- 在不同速度和负载条件下从测试变速箱收集振动数据.
- 包括健康状况和多重复合故障的数据集.
主要成果:
- 该数据集包括单个和复合断层的详细振动数据.
- 故障被精确加工,确保数据可靠性.
- 数据涵盖了一系列的操作条件,模仿真实世界的场景.
结论:
- 展示的振动数据集对于推进轮箱故障诊断研究具有价值.
- 这些数据集使新的故障检测和诊断算法的严格测试成为可能.
- 在可变条件下改进故障诊断可以提高系统可靠性和使用寿命.
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