Citation: | Xu Renyi, Wang Yan, Cui Huaiming, Kuang Chengxiao, Wu Kelin. Design and Development of Reactor Coolant Pump Intelligent Monitoring and Prognosis System for Nuclear Power Plants[J]. Nuclear Power Engineering, 2025, 46(S1): 158-165. doi: 10.13832/j.jnpe.2025.S1.0158 |
[1] |
ČALA M, BENEŠ P. A method for estimation of motor rotational speed from STFT spectrogram at a non-stationary conditions[J]. IFAC-PapersOnLine, 2018, 51(6): 283-288. doi: 10.1016/j.ifacol.2018.07.167
|
[2] |
韦佳鑫. 滚动轴承振动信号分析与故障诊断方法研究[D]. 徐州: 中国矿业大学,2018: 4-6.
|
[3] |
匡成骁,王岩,毛远帆,等. 核电站反应堆冷却剂泵故障诊断系统设计研究[J]. 科技视界,2021(27): 15-18.
|
[4] |
徐仁义,王航,彭敏俊,等. 核电厂智能操纵员支持系统的设计与开发[J]. 核动力工程,2023, 44(1): 159-166.
|
[5] |
GONG Y J, SU X Y, QIAN H, et al. Research on fault diagnosis methods for the reactor coolant system of nuclear power plant based on D-S evidence theory[J]. Annals of Nuclear Energy, 2018, 112: 395-399. doi: 10.1016/j.anucene.2017.10.026
|
[6] |
LIN Y, LI Y Y, YIN X H, et al. Multisensor fault diagnosis modeling based on the evidence theory[J]. IEEE Transactions on Reliability, 2018, 67(2): 513-521. doi: 10.1109/TR.2018.2800014
|
[7] |
ZHANG H P, DENG Y. Engine fault diagnosis based on sensor data fusion considering information quality and evidence theory[J]. Advanced Mechanical Engineer, 2018, 10(11): 168781401880918.
|