Accurate and Fast Feature Extraction Method of Power Quality Disturbances Based on Modified S-Transform of Optimal Bohman Window

YUAN Lifen; ZHANG Chenglin; YIN Baiqiang; LI Bing; ZUO Lei

doi:10.11999/JEIT220344

Volume 44 Issue 11

Nov. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(11): 3796-3805

YUAN Lifen, ZHANG Chenglin, YIN Baiqiang, LI Bing, ZUO Lei. Accurate and Fast Feature Extraction Method of Power Quality Disturbances Based on Modified S-Transform of Optimal Bohman Window[J]. Journal of Electronics & Information Technology, 2022, 44(11): 3796-3805. doi: 10.11999/JEIT220344

Citation:

YUAN Lifen, ZHANG Chenglin, YIN Baiqiang, LI Bing, ZUO Lei. Accurate and Fast Feature Extraction Method of Power Quality Disturbances Based on Modified S-Transform of Optimal Bohman Window[J]. Journal of Electronics & Information Technology, 2022, 44(11): 3796-3805. doi: 10.11999/JEIT220344

Citation:

YUAN Lifen, ZHANG Chenglin, YIN Baiqiang, LI Bing, ZUO Lei. Accurate and Fast Feature Extraction Method of Power Quality Disturbances Based on Modified S-Transform of Optimal Bohman Window[J]. Journal of Electronics & Information Technology, 2022, 44(11): 3796-3805. doi: 10.11999/JEIT220344

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Accurate and Fast Feature Extraction Method of Power Quality Disturbances Based on Modified S-Transform of Optimal Bohman Window

doi: 10.11999/JEIT220344

School of Electrical and Automation Engineering, Hefei University of Technology, Hefei 230009, China

Funds: The National Natural Science Foundation of China (61971175), The Fundamental Research Funds for the Central Universities (JZ2019YYPY0025)

Received Date: 2022-03-30
Accepted Date: 2022-08-02
Rev Recd Date: 2022-07-25

Available Online: 2022-08-08

Publish Date: 2022-11-14

Abstract

Abstract

Focusing on the problems of low time-frequency resolution and large amount of calculation in the traditional S-Transform, a modified S-Transform based on the optimal Bohman window is proposed. In order to extract accurately and quickly the characteristics of all kinds of disturbance signals, this method obtains the optimal time-frequency resolution by controlling directly the window length and carries out time-frequency analysis only for the main frequency points. Firstly, the optimal length parameter is determined according to the proposed evaluation criteria. Secondly, the sampled signal spectrum is obtained through fast Fourier transform, and then the main frequency points are determined by the dynamic measurement fast algorithm based on the maximum envelope; Then the corresponding optimal length parameter is selected according to the frequency band of the main frequency point for calculation and processing; Finally, the time-frequency feature extraction is completed by calculating the time-frequency amplitude vector based on modulus time-frequency matrix. Simulation analysis and experimental results show that the proposed method has higher time-frequency resolution and shorter calculation time than the traditional S-Transform, and is suitable for the accurate and fast extraction of power quality disturbance signal features.
- Power quality disturbances,
- Optimal Bohman window,
- Dynamic measure,
- Modified S-Transform

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References(23)

References

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