Study on enhancement methods for fault feature detection in rotating machinery within nuclear power plant

IF 3.2 3区工程技术 Q1 NUCLEAR SCIENCE & TECHNOLOGY

Progress in Nuclear Energy Pub Date : 2026-05-01 Epub Date: 2026-02-13 DOI:10.1016/j.pnucene.2026.106275

Hang Wang , Hailin Song , Fangxiaozhi Yu , Xinxing Wang , Zhao Xu

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引用次数: 0

Abstract

Pump equipment constitutes a critical element within a nuclear power plant, with its reliability being essential for continuous and stable operation of facility. Throughout the extended operational lifespan in nuclear power plants, the key rotating components of pump equipment are susceptible to failures, including cracks and wear, which can impair overall performance. The operational environment of pump equipment is characterized by significant levels of noise, which leads to fault characteristics being very weak in collected signals. However, existing methods for enhancing fault characteristics, such as Local Mean Decomposition (LMD), are unable to eliminate noise interference in signals. This article proposes an adaptive endpoint extension LMD method aimed at addressing several challenges associated with existing algorithms. These challenges include the difficulty in distinguishing components of fault information, poor enhancement of fault features, and low robustness of the model. Additionally, to further improve fault characteristics, an adaptive iterative weighting model for fault characteristic enhancement is developed based on the principles of stochastic resonance (SR). Finally, a comparative analysis of experimental data is conducted to demonstrate superiority of the model.

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核电站旋转机械故障特征检测的增强方法研究

泵设备是核电站的关键部件，其可靠性对核电站的持续稳定运行至关重要。随着核电站运行寿命的延长，泵设备的关键旋转部件容易出现故障，包括裂纹和磨损，从而影响整体性能。泵设备的运行环境具有明显的噪声水平，这导致采集到的信号中的故障特征非常弱。然而，现有的增强故障特征的方法，如局部均值分解（LMD），无法消除信号中的噪声干扰。本文提出了一种自适应端点扩展LMD方法，旨在解决与现有算法相关的几个挑战。这些挑战包括难以区分故障信息的组成部分，故障特征的增强能力差，以及模型的鲁棒性低。此外，为了进一步改善故障特征，提出了基于随机共振原理的自适应迭代加权故障特征增强模型。最后，对实验数据进行了对比分析，验证了模型的优越性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Progress in Nuclear Energy 工程技术-核科学技术

CiteScore

5.30

自引率

14.80%

发文量

331

审稿时长

3.5 months

期刊介绍： Progress in Nuclear Energy is an international review journal covering all aspects of nuclear science and engineering. In keeping with the maturity of nuclear power, articles on safety, siting and environmental problems are encouraged, as are those associated with economics and fuel management. However, basic physics and engineering will remain an important aspect of the editorial policy. Articles published are either of a review nature or present new material in more depth. They are aimed at researchers and technically-oriented managers working in the nuclear energy field. Please note the following: 1) PNE seeks high quality research papers which are medium to long in length. Short research papers should be submitted to the journal Annals in Nuclear Energy. 2) PNE reserves the right to reject papers which are based solely on routine application of computer codes used to produce reactor designs or explain existing reactor phenomena. Such papers, although worthy, are best left as laboratory reports whereas Progress in Nuclear Energy seeks papers of originality, which are archival in nature, in the fields of mathematical and experimental nuclear technology, including fission, fusion (blanket physics, radiation damage), safety, materials aspects, economics, etc. 3) Review papers, which may occasionally be invited, are particularly sought by the journal in these fields.