Tracking and Identifying CRDM Degradation State Based on SWT and Phase Space Warping

Zhu Kang; Zhao Xinwen; Zhang Liming; Yu Hang

doi:10.13832/j.jnpe.2021.05.0195

Volume 42 Issue 5

Sep. 2021

Turn off MathJax

Article Contents

Article Navigation > Nuclear Power Engineering > 2021 > 42(5): 195-199

Zhu Kang, Zhao Xinwen, Zhang Liming, Yu Hang. Tracking and Identifying CRDM Degradation State Based on SWT and Phase Space Warping[J]. Nuclear Power Engineering, 2021, 42(5): 195-199. doi: 10.13832/j.jnpe.2021.05.0195

Citation:

Zhu Kang, Zhao Xinwen, Zhang Liming, Yu Hang. Tracking and Identifying CRDM Degradation State Based on SWT and Phase Space Warping[J]. Nuclear Power Engineering, 2021, 42(5): 195-199. doi: 10.13832/j.jnpe.2021.05.0195

Citation:

PDF( 2193 KB)

Tracking and Identifying CRDM Degradation State Based on SWT and Phase Space Warping

doi: 10.13832/j.jnpe.2021.05.0195

College of Nuclear Science and Technology, Naval University of Engineering, Wuhan, 430033, China

Received Date: 2020-09-08
Rev Recd Date: 2020-11-06
Publish Date: 2021-09-30

Abstract

Abstract

The control rod drive mechanism (CRDM) is important for ensuring the normal operation and safety of reactors. Considering the low speed, latent performance degradation signs, and susceptibility to interference from other signal sources of the CRDM, this paper tracks and identifies the CRDM degradation state by a combination of the semi-soft wavelet threshold (SWT) and phase space warping (PSW). By comparison with the method based on the root mean square (RMS) of vibration amplitude, the method combining the SWT with PSW, unlike the traditional linear signal processing theory with poor performance in tracking and identifying the latent performance degradation state, can track and identify adequately the performance degradation state of rotating machinery with high background noise.
- CRDM,
- Phase space warping,
- SWT

FullText(HTML)

References(7)

References

[1]	邱光琦. 多状态系统可靠性建模及剩余使用寿命预测方法研究[D]. 广州: 华南理工大学, 2017: 37-45.
[2]	石磊,陈玲,张黎明. 基于SWT和Hilbert的密封磁阻马达式CRDM振动信号去噪[J]. 原子能科学技术,2018, 52(2): 314-319.
[3]	CHELIDZE D, CUSUMANO J P. Phase space warping: nonlinear time-series analysis for slowly drifting systems[J]. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Science, 2006, 364(1846): 2495-2513. doi: 10.1098/rsta.2006.1837
[4]	范彬,胡雷,胡茑庆. 变工况下旋转机械故障跟踪的相空间曲变方法[J]. 物理学报,2013, 62(16): 160503. doi: 10.7498/aps.62.160503
[5]	牛乾. 机械旋转部件的性能退化及其寿命预测方法研究[D]. 杭州: 浙江大学, 2018: 44-51.
[6]	GAO H Y, BRUCE A G. Waveshrink and semisoft shrinkage: StaSci research report No. 39[R]. Berlin: StatSci Division of MathSoft, 1995.
[7]	钱宇宁. 机械系统旋转部件退化跟踪与故障预测方法研究[D]. 南京: 东南大学, 2015.