Zhang Liming, Wang Chen, Chen Ling, Tan Tian, Liao Luqi
School of Nuclear Science and Technology, Naval University of Engineering, Wuhan 430033, China.
Chongqing Pump Industry Co., Ltd., Chongqing 400030, China.
Sensors (Basel). 2025 Jun 13;25(12):3702. doi: 10.3390/s25123702.
Aiming at the difficult problem of predicting the running state of the rotor of a Control Rod Drive Mechanism (CRDM) in a floating nuclear reactor, this paper proposes a Remaining Useful Life (RUL) prediction method based on Variational Mode Decomposition and Bidirectional Long Short-Term Memory (VMD-BiLSTM). Firstly, a bench experiment of the CRDM is carried out to collect the full operational cycle (full-stroke) vibration signals of the CRDM. Secondly, the collected data are decomposed based on the VMD, and the typical vibration signals at different stages of the experiment are used to verify this method and comprehensively mine the degradation characteristics. At the same time, the time-frequency domain feature analysis is carried out on the original vibration data, and the changing trends of the extracted features are carefully analyzed. Five feature quantities closely related to the degradation trend of the rotor of the CRDM are screened out, and the corresponding health indicators are constructed in combination with the stroke. Finally, the life prediction of the rotor of the CRDM is realized through the BiLSTM method. Then, the comparison experiments with other methods are carried out, and the experimental results show that the method proposed in this paper has high accuracy and reliability and can effectively solve the RUL prediction problem of CRDM, which provides a strong support to ensure the safe and stable operation of floating nuclear reactors.
针对浮动式核反应堆控制棒驱动机构(CRDM)转子运行状态预测难题,提出一种基于变分模态分解和双向长短期记忆网络(VMD-BiLSTM)的剩余使用寿命(RUL)预测方法。首先,开展CRDM台架实验,采集CRDM全运行周期(全行程)振动信号。其次,基于VMD对采集的数据进行分解,利用实验不同阶段典型振动信号对该方法进行验证并全面挖掘退化特征。同时,对原始振动数据进行时频域特征分析,仔细分析提取特征的变化趋势。筛选出与CRDM转子退化趋势密切相关的5个特征量,并结合行程构建相应健康指标。最后,通过BiLSTM方法实现CRDM转子寿命预测。然后,与其他方法进行对比实验,实验结果表明本文所提方法具有较高准确性和可靠性,能有效解决CRDM的RUL预测问题,为保障浮动式核反应堆安全稳定运行提供有力支撑。