转子轴系健康状态原位监测与故障识别方法研究
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作者单位:

1.江南大学;2.温州大学 机械工程学院;3.江南大学 机械工程学院;4.浙江清华柔性电子技术研究院

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中图分类号:

TH17

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国家科技攻关计划,国家自然科学基金项目(面上项目,重点项目,重大项目)


Research on In-Situ Monitoring and Fault Identification Methods for Rotor Shafting Health Status
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Affiliation:

1.Jiangnan University;2.School of Mechanical Engineering,Wenzhou University;3.School of Mechanical Engineering,Jiangnan University,Wuxi;4.Institute of Flexible Electronics Technology of Tsinghua

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    摘要:

    轴系部件作为众多动力系统中的核心单元,其运行状态直接关系到整个系统的连续生产与安全性能,因此对其开展实时监测具有重要的工程意义。然而,现有测量手段难以在不干扰轴系转子等大型部件正常运行的前提下实现有效的原位监测。为此,本研究基于柔性传感采集系统,提出一种面向旋转轴系的振动原位监测技术。通过设计轻量化、小体积的防护工装,使柔性基底可靠贴合于转轴表面,系统采用软包电池供电,并利用三轴加速度传感器拾取振动信号,从而在不引入额外载荷激励的条件下,实现对轴系振动的实时原位监测。在此基础上,本文进一步提出了针对不平衡与碰摩工况的监测数据识别方法,为车轮轴等大型轴系动力系统的状态监测提供了可行的技术途径。实验结果表明:对于不平衡故障,随着不平衡激励的施加,径向振动工频幅值显著上升;对于碰摩故障,X轴向频谱中出现明显增强的高次谐波分量,且X轴向的振动均方根值对碰摩损伤具有更高的识别灵敏度。

    Abstract:

    Shaft assemblies serve as critical components in numerous power systems, whose stable operation directly dictates production continuity and overall system safety, rendering real-time monitoring imperative. However, existing measurement tec[ ]hniques often fail to perform effective in-situ monitoring without interfering with the operation of large-scale system components such as rotor shafts. To address this limitation, this paper proposes a novel measurement approach for rotating shaft equipment based on a flexible sensing acquisition system. A compact and lightweight protective fixture was designed to ensure complete adhesion of the flexible substrate to the rotating shaft. The system is powered by a thin-film lithium battery, and vibration signals are captured via a triaxial accelerometer, enabling real-time in-situ vibration monitoring of the shaft without introducing additional load excitation. A method for identifying monitoring data under unbalance and rubbing conditions was developed, offering a technical framework for the monitoring of large shaft power systems such as wheel axles. Experimental results demonstrate that for unbalance faults, the radial fundamental frequency amplitude increases significantly with the introduction of unbalance excitation. In cases of rubbing faults, the frequency spectrum in the X-axis direction exhibits notably elevated higher-order harmonic multiples, and the X-axis root mean square (RMS) value is shown to be more sensitive for detecting rubbing damage.

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周彦霖,唐家钰,林智卓,等. 转子轴系健康状态原位监测与故障识别方法研究[J]. 科学技术与工程, , ():

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历史
  • 收稿日期:2026-02-11
  • 最后修改日期:2026-04-21
  • 录用日期:2026-04-22
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