基于小波分析的主冷却剂泵转子故障诊断方法研究

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Research on Fault Diagnosis for RCP Rotor based on Wavelet Analysis

1. College of Nuclear Science and Technology, Harbin Engineering University, Harbin, 150001, China;
2. National Key Laboratory for Reactor System Design Technology, Nuclear Power Institute of China, Chengdu, 610041, China

摘要: 小波分析具有降噪、多尺度分辨的特性,可以对主泵的典型故障进行故障特征提取。利用Simulink对主泵开裂纹、不对中及初始弯曲3个典型故障进行仿真得到振动曲线,并对振动曲线进行小波分析。结果表明,通过小波分析提取出的频谱信号可以有效地提取出故障特征信号。小波分析对于主冷却剂泵转子故障诊断是一种切实可行的方法,具有一定的应用价值和研究意义。
- 小波分析 /
- 主冷却剂泵转子 /
- 故障诊断
Abstract: Wavelet analysis is with the characteristics of noise reduction and multiscale resolution,and can be used to effectively extract the fault features of the typical failures of the main pumps.Simulink is used to simulate the typical faults: Misalignment Fault,Crackle Fault of rotor,and Initial Bending Fault,then the Wavelet method is used to analyze the vibration signal.The result shows that the extracted fault feature from wavelet analysis can effectively identify the fault signals.The Wavelet analysis is a practical method for the diagnosis of main coolant pump failure,and is with certain value for application and significance.
- Wavelet analysis /
- Reactor Coolant Pump（RCP） Rotor /
- Fault Diagnosis