In the nuclear application, the canned pump motors are implemented in the primary/secondary coolant circuits in the reactor and play an important role in conveying radioactive liquid. As the pump motor is exposed at a harsh environment with high temperate/pressure and radiation, the reliability evaluation and fault diagnostic have become a crucial need. Considering the nuclear application, the proposed project aims to develop condition monitoring and fault diagnose technologies for the canned pump motor based on the characteristics of stray flux. By referencing the spatial and temporal distribution of the stray flux field in the canned pump motor, the influences of the eddy current, end winding and external environment magnetic field will be analyzed and represented. In this case, the optimized approach of collecting and decoupling the stray flux information can be carried out. The qualitative and quantitative relationship between stray flux information and various possible faults in the canned pump motor will be built. The objectives of this proposed project are focused on characteristics of stray flux field of the pump motor. By implementing the non-invasive monitoring approach and health state evaluation with ‘pattern+data’, the reliability and stability during the canned pump motor in service can be increased as well as the soiled support of the safe operation in the nuclear application. Hence, the proposed project contains both academic value and engineering significance.
在核动力装置中,屏蔽泵电机主要在一回路与二回路承担着放射性液体的输送工作,长期处于高温高压、高辐射等严酷环境中,其可靠性与故障诊断已成为迫切需求。本项目研究以屏蔽泵电机故障监测为实际工程应用背景,提出基于磁场空间分布特征的电机故障诊断研究思路,围绕多源复杂磁场环境下屏蔽泵电机杂散磁场时空分布模型开展研究,解析涡电流、端部绕组和外部电磁环境对杂散磁场信号的影响,探求在复杂电磁环境下,杂散磁场信号的捕捉、解耦的机理与方法,建立在不同运行状态下的杂散磁场特征参数表征模型和故障间的映射关系。本课题在屏蔽泵电机杂散磁场的特性研究基础上,提出非侵入式监测和“规律+数据”的健康状态评估模式,给出屏蔽泵整体机电系统的可靠性和稳定性评估方法,为核动力装置的安全稳定运行提供理论和数据支持。
在核动力装置中,屏蔽泵电机主要在一回路与二回路承担着放射性液体的输送工作,长期处于高温高压、高辐射等严酷环境中,其可靠性与故障诊断已成为迫切需求。本项目研究以屏蔽泵电机故障监测为实际工程应用背景,提出基于磁场空间分布特征的电机故障诊断研究思路,围绕多源复杂磁场环境下屏蔽泵电机杂散磁场时空分布模型开展研究,解析涡电流、端部绕组和外部电磁环境对杂散磁场信号的影响,探求在复杂电磁环境下,杂散磁场信号的捕捉、解耦的机理与方法,建立在不同运行状态下的杂散磁场特征参数表征模型和故障间的映射关系。采集不同转速的杂散磁场频率数据,对样机分别在各种故障情况下的杂散磁场信号波形频谱特征进行分析,实验表明杂散磁场的频谱特征能够准确辨识电机故障,为重要装备的安全稳定运行提供理论和数据支持。
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数据更新时间:2023-05-31
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