系统工程与电子技术 ›› 2020, Vol. 42 ›› Issue (12): 2944-2952.doi: 10.3969/j.issn.1001-506X.2020.12.33

• 可靠性 • 上一篇    

基于Park-HHT的故障特征提取方法

李波1,2(), 张琳1(), 汪文峰1,*(), 王冠男3()   

  1. 1. 空军工程大学防空反导学院, 陕西 西安 710043
    2. 中国人民解放军93786部队, 河北 张家口 075061
    3. 中国人民解放军93114部队, 北京 100195
  • 收稿日期:2020-03-06 出版日期:2020-12-01 发布日期:2020-11-27
  • 通讯作者: 汪文峰 E-mail:libo.ing@foxmail.com;csdmmsh0@163.com;rfvmju01@163.com;979854590@qq.com
  • 作者简介:李波(1988-),男,工程师,硕士研究生,主要研究方向为故障诊断、状态监测。E-mail:libo.ing@foxmail.com|张琳(1975-),男,教授,博士,主要研究方向为装备保障、系统工程。E-mail:csdmmsh0@163.com|王冠男(1980-),女,工程师,硕士,主要研究方向为装备维修、发展论证。E-mail:979854590@qq.com
  • 基金资助:
    中国博士后科学基金(2017M623417)

Fault feature extraction method based on Park-HHT

Bo LI1,2(), Lin ZHANG1(), Wenfeng WANG1,*(), Guannan WANG3()   

  1. 1. Air Defense and Anti-Missile College, Air Force Engineering University, Xi'an 710043, China
    2. Unit 93786 of the PLA, Zhangjiakou 075061, China
    3. Unit 93114 of the PLA, Beijing 100195, China
  • Received:2020-03-06 Online:2020-12-01 Published:2020-11-27
  • Contact: Wenfeng WANG E-mail:libo.ing@foxmail.com;csdmmsh0@163.com;rfvmju01@163.com;979854590@qq.com

摘要:

针对三相对称系统,提出了一种新的故障特征提取方法。该方法首先将系统输出信号进行Park变换,之后进行希尔伯特-黄变换(Hilbert-Huang transform, HHT),从HHT的本征模态函数中选取低频分量,提取信号幅度作为故障特征值。该方法兼具Park变换和HHT的优点,在降低变量维度的同时提高了故障分辨率,并且具有较强的抗噪声能力。最后,在三相逆变电路中进行了仿真实验,根据特征向量间距离分布对不同方法的提取效果进行评价,验证了所提方法的有效性。

关键词: 故障诊断, 特征提取, Park变换, 希尔伯特-黄变换

Abstract:

A new fault feature extraction method is proposed for three-phase symmetric system. Firstly, the three-phase output signal of the system is firstly Park transformed by the method, and then the signal goes through Hilbert-Huang transform (HHT). The low-frequency component is selected from the eigenmode function of HHT and the signal amplitude is extracted as the fault characteristic value. This method has the advantages of both Park transformation and HHT, which can improve the fault resolution while reducing the variable dimension, and has a strong anti-noise capability. Finally, the simulation experiment is carried out in the three-phase inverter circuit, and the extraction effect of different methods is evaluated by using the distance distribution between feature vectors, which verify the effectiveness of the proposed method.

Key words: fault diagnosis, feature extraction, Park transform, Hilbert-Huang transform (HHT)

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