基于模糊距离的核电厂瞬态分段识别方法

常远; 黄晓津; 李春文; 郝轶

基于模糊距离的核电厂瞬态分段识别方法

1. 清华大学自动化系, 北京, 100084;
2. 清华大学核能与新能源技术研究院, 北京, 100084;
3. 北京师范大学管理学院, 北京, 100875

详细信息

作者简介:
常远(1983—),男,清华大学自动化系控制科学与工程专业博士研究生。2008年控制科学与工程专业硕士研究生毕业。现主要从事核电厂操纵员辅助支持系统相关研究。黄晓津(1971—),男,研究员,博士生导师。1998年毕业于清华大学自动化系,获博士学位。现从事核电厂建模、控制、仿真及故障诊断方面的研究工作。李春文(1958—),男,教授,博士生导师。1989年毕业于清华大学自动化系,获博士学位。现从事非线性系统建模与控制相关研究

中图分类号: O159;TL364⁺.4
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出版历程
- 收稿日期: 2012-11-21
- 修回日期: 2013-07-25
- 网络出版日期: 2025-02-15

Transient Identification in Nuclear Power Plants Based on Transient Division and Fuzzy Euclidean Distance

1. Department of Automation, Tsinghua University, Beijing, 100084, China;
2. Institute of nuclear and new energy technology, Tsinghua University, Beijing 100084, China;
3. School of Management, Beijing Normal University, Beijing, 100875, China

摘要

摘要: 近年来发展的核电厂瞬态识别技术,可为操纵员提供处于发展阶段的故障信息,有助于了解核电厂状态并及时采取相应的操作动作,保证核电厂的安全运行。将瞬态过程曲线分为两段,前段利用聚类方法用于快速识别,后段利用提取的瞬态过程的特征进行更准确的识别。利用待识别瞬态与参考瞬态间的模糊距离描述二者的相近程度,可以消除噪声等扰动的影响,并得到更符合认知习惯的结果。利用高温气冷堆核电厂仿真机的故障数据验证瞬态识别方法的有效性。
- 瞬态识别 /
- 瞬态曲线分段 /
- 小波在线预处理 /
- 模糊距离
Abstract: The transient identification techniques were recently developed to alert the operators about the faults in their early stages, therefore corrective actions can be taken in time to keep the safety of nuclear power plants. In this paper, the transients were split into two parts: the first part is identified by clustering method, while the other is identified by comparing three features of signals. The similarity between the on-line and the reference transients was described by Fuzzy Euclidean distance, which conforms to human understanding habits. The method was verified by simulator data of Pebble Bed Modular High Temperature Gas-cooled Reactor（HTR-PM） with Tsinghua University. It is shown that the transients can be correctly and quickly identified.
- Transient identification /
- Transient division /
- Wavelet preprocessing /
- Fuzzy theory