Transient feature extraction method based on adaptive TQWT sparse optimization

liu, xue; Sun, Aixin; Hu, Jian

doi:10.1186/s13638-021-01990-8

Cited by 3 publications

(1 citation statement)

References 19 publications

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“…The decomposition and reconstruction effect of the randomly selected Q value cannot reach the optimal value. Combined with references [ 29 , 30 ], the selection of Q can be set as an optimization problem, and the optimal value of Q can be found iteratively using GWO. The range of the optimum is set to [ 1 , 5 ].…”

Section: Methodsmentioning

confidence: 99%

A novel fault diagnosis method for second-order bandpass filter circuit based on TQWT-CNN

Yuan,

Sheng,

Zhuang

et al. 2024

PLoS ONE

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To accurately locate faulty components in analog circuits, an analog circuit fault diagnosis method based on Tunable Q-factor Wavelet Transform(TQWT) and Convolutional Neural Network (CNN) is proposed in this paper. Firstly, the Grey Wolf algorithm (GWO) is used to improve the TQWT. The improved TQWT can adaptively determine the parameters Q-factor and decomposition level. Secondly, The signal is decomposed, and single-branch reconstruction is conducted with TQWT to facilitate adequate feature extraction. Thirdly, to capture the time-frequency features in the signal, a CNN-LSTM network is built by combining CNN and LSTM for feature extraction. Finally, CNN, which introduces Fully Convolutional Network (FCN) layers and a Batch Normalization layer, is used to fault diagnosis. The method was comprehensively evaluated with a second-order bandpass filter circuit. The experimental results illustrate that the proposed fault diagnosis method can achieve excellent fault diagnosis accuracy, and the average accuracy is 98.96%.

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Section: Methodsmentioning

confidence: 99%

A novel fault diagnosis method for second-order bandpass filter circuit based on TQWT-CNN

Yuan,

Sheng,

Zhuang

et al. 2024

PLoS ONE

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A Hybrid Method for Identifying the Spring Energy Storage State of Operating Mechanism in Circuit Breakers

Shi

Zhou

Ren

et al. 2023

IEEE Trans. Instrum. Meas.

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Identification of Cross-Country Fault with High Impedance Syndrome in Transmission Line Using Tunable Q Wavelet Transform

Sinha

Paul²,

Saiprakash

et al. 2023

Mathematics

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The transmission lines of an electricity system are susceptible to a wide range of unusual fault conditions. The transmission line, the longest part of the electricity grid, sometimes passes through wooded areas. Storms, cyclones, and poor vegetation management (including tree cutting) increase the risk of cross-country faults (CCFs) and high-impedance fault (HIF) syndrome in these regions. Recognizing and classifying CCFs associated with HIF syndrome is the most challenging part of the project. This study extracted signal characteristics associated with CCF and HIF syndrome using the Tunable Q Wavelet Transform (TQWT). An adaptive tunable Q-factor wavelet transform (TQWT) based feature-extraction approach for CCHIF fault signals with high impact, short response period, and broad resonance frequency bandwidth was presented. In the first part, the time–frequency distribution of the vibration signal is used to determine the distinctive frequency range. Adaptive optimal matching of the impact characteristic components in the vibration signal was achieved by optimizing the number of decomposition layers, quality factor, and redundancy of TQWT based on the characteristic frequency band. In the last, the TQWT inverse transform was utilized to recreate the best sub-band to boost its weak impact characteristics. The effectiveness of the approach is confirmed by simulation and experimental findings in signal processing. The best decomposition level for signature features that can be extracted has been decided by Minimum Description length (MDL). The IEEE 39-bus system is used to test the suggested approach with reactor switching and the Ferranti effect.

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Transient feature extraction method based on adaptive TQWT sparse optimization

Cited by 3 publications

References 19 publications

A novel fault diagnosis method for second-order bandpass filter circuit based on TQWT-CNN

A novel fault diagnosis method for second-order bandpass filter circuit based on TQWT-CNN

A Hybrid Method for Identifying the Spring Energy Storage State of Operating Mechanism in Circuit Breakers

Identification of Cross-Country Fault with High Impedance Syndrome in Transmission Line Using Tunable Q Wavelet Transform

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