Application of HHT and GCA-NBC in fault diagnosis of S700K switch machineFull text replacement

Full text replacementWANG Linjie; MI Gensuo

doi:10.13873/J.1000-9787(2021)07-0151-05

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Application of HHT and GCA-NBC in fault diagnosis of S700K switch machineFull text replacement

更新时间：2025-09-11

- Application of HHT and GCA-NBC in fault diagnosis of S700K switch machineFull text replacement
- Issue 7, Pages: 151-155(2021)
- 作者机构：
  
  兰州交通大学自动化与电气工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2021)07-0151-05
  CLC： U284.92
- Published：2021
- 稿件说明：
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Full text replacementWANG Linjie, MI Gensuo. Application of HHT and GCA-NBC in fault diagnosis of S700K switch machineFull text replacement[J]. 2021, (7): 151-155.
DOI：

Full text replacementWANG Linjie, MI Gensuo. Application of HHT and GCA-NBC in fault diagnosis of S700K switch machineFull text replacement[J]. 2021, (7): 151-155. DOI： 10.13873/J.1000-9787(2021)07-0151-05.

摘要

针对S700K转辙机故障现象与故障类型之间存在不确定性关系

提出一种基于希尔伯特-黄变换(HHT)

灰色关联分析(GCA)和朴素贝叶斯分类器(NBC)的转辙机故障诊断方法。首先对转辙机功率曲线进行HHT

提取转辙机故障特征;其次采用属性约简对故障特征进行约简降低其维度;最后运用GCA-NBC模型将约简后的故障特征融合

通过网络推理计算各类型的后验概率值

从而确定故障类型。通过实例分析

验证了该方法的准确性和快速性。

Abstract

Aiming at the uncertainty relationship between fault phenomenon and fault types of S700 K switch machine

a method for fault diagnosis of switch machine based on Hilbert Huang transform

grey correlation analysis（GCA）naive Bayesian classifier（NBC）oposed.Firstly

the power curve of the switch machine is transformed by HHT to extract the fault characteristics. Secondly

the attribute reduction is used to reduce the fault characteristics and reduce its dimension.Finally

the GCA-NBC model is used to fuse the fault characteristics after reduction

and the posterior probability values of each type are calculated by network reasoning to determine the fault type.Through case analysis

the accuracy and speed of the method are verified.

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