在离心中非设计操作和洞穴检测,使用振动和电机静止器电流分析
Yuejiang Han1, Jiamin Zou1, Alexandre Presas2
1Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang 212013, China.
Sensors (Basel, Switzerland)
|June 19, 2024
概括
这项研究表明,振动和电流传感器可以有效地诊断离心问题,如设计之外的操作和空洞化. 将这些传感器数据与机器学习相结合,可以提高工业的诊断可靠性.
科学领域:
- 机械工程 机械工程
- 工业监控 工业监控 工业监控
背景情况:
- 离心是重要的工业部件,需要准确的操作诊断以确保可靠性.
- 在许多应用中,缺乏流量计和压力传感器阻碍了最佳效率点 (BEP) 的确定.
研究的目的:
- 通过使用加速度计和电流传感器,调查离心中设计外运行和空洞的检测.
- 为了评估振动和定子电流信号的有效性,用于运行诊断.
主要方法:
- 收集的同时振动 (三轴加速度计) 和定位器电流 (霍尔效应传感器) 数据.
- 使用的信号处理技术:波段值,变化模式分解 (VMD),Park向量模量转换和边际频谱用于特征提取.
- 评估了七种机器学习分类算法,用于识别设计之外的条件和空洞化.
主要成果:
- 振动和电流信号都被证明是有效的操作诊断.
- 结合两种信号类型,产生了最可靠的诊断结果.
- 机器学习算法成功识别了设计之外的操作和空洞化.
结论:
- 加速度计和电流传感器是诊断离心运行状态的可行工具.
- 整合振动和电流数据可以提高诊断的准确性和可靠性.
- 这种方法为监控缺乏传统传感器的提供了实用解决方案.
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