在可变工作条件下的三相异步电机的多模式故障诊断数据集
Shijin Chen1,2, Zeyi Liu3,4, Chenyang Li5
1MCC5 Group Shanghai Co. LTD 201900, ShangHai, China.
Data in brief
|March 2, 2026
概括
本研究引入了一套新的数据集,用于在可变操作条件下诊断三相异步电机的故障. 这些数据有助于为工业应用开发可靠的故障检测方法.
科学领域:
- 电气工程 电气工程
- 机械工程 机械工程
- 数据科学数据科学数据科学
背景情况:
- 三相异步电机在工业中至关重要,但故障会导致大量停机时间.
- 振动和电流信号是运动健康监测的关键指标.
- 变化的操作条件,如波动的速度和负载,使故障诊断复杂化.
研究的目的:
- 为三相异步电机故障诊断提供一个全面的数据集.
- 包括各种各样的故障类型 (单一和复合) 和严重程度.
- 涵盖现实的,可变的速度和负载条件,包括过渡状态.
主要方法:
- 收集了三轴振动,三相电流,扭矩和关键相信号.
- 在各种故障条件下从三相异步电机获得的数据.
- 模拟单个和复合故障 (转子不平衡,短路,轴承故障).
主要成果:
- 创建了一个丰富的数据集,涵盖了各种操作状态和故障场景.
- 数据集在稳定条件和过渡条件下捕获数据.
- 包括单个和机电复合故障进行全面分析.
结论:
- 该数据集对于开发和验证先进故障诊断技术非常有价值.
- 能够为电机创建更强大的诊断工具.
- 支持在现实的工业环境下对条件监测的研究.
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