Grid-moving equivalent source method in a probability framework for the transformer discharge fault localization

Yu, Liang; Zhang, Chenyu; Wang, Ran; Gao, Yuan; Wang, Xiao

doi:10.1016/j.measurement.2022.110800

Cited by 17 publications

(7 citation statements)

References 39 publications

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“…Among them, acoustic diagnosis technology has been extensively studied by experts and scholars due to its advantages of non-contact testing, no electromagnetic interference, and no impact on the power system. In fact, when mechanical defects [6][7][8], DC bias defects [9,10], or discharge defects [11,12] occur in power equipment, they make a sound that is obviously different from normal operation. Based on this, experts and scholars have conducted a lot of research on the diagnosis of abnormal acoustic signals, which focus on the preprocessing of sound signals [13][14][15], acoustic feature extraction [16,17], classifier design [18][19][20], etc.…”

Section: Introductionmentioning

confidence: 99%

Topology Optimization Design Method for Acoustic Imaging Array of Power Equipment

Xiong,

Zha,

Pei

et al. 2024

Sensors

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Acoustic imaging technology has the advantages of non-contact and intuitive positioning. It is suitable for the rapid positioning of defects such as the mechanical loosening, discharge, and DC bias of power equipment. However, the existing research lacks the optimization design of microphone array topology. The acoustic frequency domain characteristics of typical power equipment are elaborately sorted out. After that, the cut-off frequencies of acoustic imaging instruments are determined, to meet the needs of the full bandwidth test requirements. Through a simulation calculation, the circular array is demonstrated to be the optimal shape. And the design parameters affect the imaging performance of the array to varying degrees, indicating that it is difficult to obtain the optimal array topology by an exhaustive method. Aimed at the complex working conditions of power equipment, a topology optimization design method of an acoustic imaging array for power equipment is proposed, and the global optimal solution of microphone array topology is obtained. Compared with the original array, the imaging performance of the improved LF and HF array is promoted by 54% and 49%, respectively. Combined with the simulation analysis and laboratory test, it is verified that the improved array can not only accurately locate the single sound source but also accurately identify the main sound source from the interference of the contiguous sound source.

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Section: Introductionmentioning

confidence: 99%

Topology Optimization Design Method for Acoustic Imaging Array of Power Equipment

Xiong,

Zha,

Pei

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

“…Acoustic imaging technology 1 can obtain visual acoustic images, which is widely used in noise source identification and localization. 2 Acoustic imaging technology mainly includes near-field acoustic holography, 3–8 beamforming 9 and time reversal method. 10,11 Different from the other two methods, near-field acoustic holography (NAH) can not only realize acoustic imaging, but also reconstruct the sound field.…”

Section: Introductionmentioning

confidence: 99%

High-resolution acoustic imaging method based on equivalent source method and reweighted l₁ minimization

Liu,

et al. 2024

Measurement and Control

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Sparse regularization has been successfully applied to equivalent source method (ESM) in order to improve the acoustic imaging resolution. However, the application is not always feasible, especially at low frequencies. To overcome the problem, this paper proposes a high-resolution acoustic imaging method. In this method, reweighted l1 minimization is introduced to ESM to deal with the ill-posed inverse problems. Then the obtained equivalent source strengths are used to locate the sound sources. Compared to the sparse regularization-based ESM, the proposed method can provide a low side lobe and higher spatial resolution of acoustic imaging. Meanwhile, by arranging equivalent sources in three-dimensional space, the proposed method can also realize the acoustic imaging in three-dimensional sound field with high resolution. The results of the simulation and experiment demonstrate the validations.

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“…Dong et al propose an ultrasonic sensor array with 31 sensors arranged in a double-helix arrangement, and use a high-resolution spatial spectrum estimation method combined with an image fusion technique to locate the corona discharge in the outdoor insulation, which has an angular error of 5.32% at 30 m distance [ 23 ]. Yu et al propose an improved near-field acoustic holography (NAH) algorithm to visualize the measured sound field in order to locate the audible sound caused by transformer discharge faults [ 24 ]. They use a 112-channel microphone array to obtain a clear acoustic imaging map of the transformer discharge location with high resolution.…”

Section: Introductionmentioning

confidence: 99%

An Acoustic Localization Sensor Based on MEMS Microphone Array for Partial Discharge

Yan

Chen

et al. 2023

Sensors

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Partial discharge (PD) localization is important for monitoring and maintaining high-voltage equipment, which can help to prevent accidents. In this work, an acoustic localization sensor based on microelectromechanical system (MEMS) microphone array is proposed, which can detect and locate the partial discharge through a beam-forming algorithm. The MEMS microphone array consists of eight commercial MEMS microphones (SPV08A0LR5H-1, Knowles Electronics, IL, USA) with an aperture size of about 0.1 m × 0.1 m, allowing for a small hardware size and low cost. In order to optimize the acoustic performance of the array, a random array topology is designed. The simulation analysis indicates that the designed random topology is superior to several commonly used topologies. In terms of the localization algorithm, a deconvolution method called Fourier-based fast iterative shrinkage thresholding algorithm (FFT-FISTA) is applied. Simulation and experiment results demonstrate that FFT-FISTA used in the proposed acoustic localization sensor has significant advantages over the conventional beam-forming algorithm on spatial resolution and sidelobe suppression. Experimental results also show that the average localization error of the proposed scheme is about 0.04 m, which can meet the demands of practical application.

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Grid-moving equivalent source method in a probability framework for the transformer discharge fault localization

Cited by 17 publications

References 39 publications

Topology Optimization Design Method for Acoustic Imaging Array of Power Equipment

Topology Optimization Design Method for Acoustic Imaging Array of Power Equipment

High-resolution acoustic imaging method based on equivalent source method and reweighted l₁ minimization

An Acoustic Localization Sensor Based on MEMS Microphone Array for Partial Discharge

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Grid-moving equivalent source method in a probability framework for the transformer discharge fault localization

Cited by 17 publications

References 39 publications

Topology Optimization Design Method for Acoustic Imaging Array of Power Equipment

Topology Optimization Design Method for Acoustic Imaging Array of Power Equipment

High-resolution acoustic imaging method based on equivalent source method and reweighted l1 minimization

An Acoustic Localization Sensor Based on MEMS Microphone Array for Partial Discharge

Contact Info

Product

Resources

About

High-resolution acoustic imaging method based on equivalent source method and reweighted l₁ minimization