基于Park-HHT的故障特征提取方法

doi:10.3969/j.issn.1001-506X.2020.12.33

Abstract

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)

CLC Number:

TP277

Bo LI, Lin ZHANG, Wenfeng WANG, Guannan WANG. Fault feature extraction method based on Park-HHT[J]. Systems Engineering and Electronics, 2020, 42(12): 2944-2952.

Figures/Tables 14

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References 21

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类别	故障模式	i_d		i_q
类别	故障模式	IMF5	IMF6	IMF5	IMF6
1	正常	0.091	0.024	0.173	0.029
2	T1开路	0.615	0.383	0.601	0.418
3	T3开路	0.514	0.406	1.089	2.979
4	T5开路	0.215	0.162	0.254	3.414
5	T3、T5开路	0.345	0.351	0.399	2.280

类别	故障模式	i_d	i_q
1	正常	0.511	3.588
2	T1开路	0.745	3.088
3	T3开路	0.753	2.868
4	T5开路	0.653	3.094
5	T3、T5开路	0.836	2.375

类别	故障模式	i_a		i_b		i_c
类别	故障模式	IMF5	IMF6	IMF5	IMF6	IMF5	IMF6
1	正常	0.650	0.084	0.705	0.066	0.928	0.026
2	T1开路	0.077	0.307	0.613	0.061	0.922	0.114
3	T3开路	1.504	0.433	0.309	0.682	2.271	0.101
4	T5开路	1.838	0.493	1.768	0.338	0.445	1.221
5	T3、T5开路	1.458	0.362	1.111	0.584	0.194	0.548

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Fault feature extraction method based on Park-HHT

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