Research on Ultrasonic Locating of Partial Discharge in Power Transformer Based on Modified Multiple Signal Classification

Xie, Qing; Wang, Nan; Xiang, Xinguang; Li, Yanqing; Lü, Fangcheng

doi:10.1109/appeec.2009.4918721

Cited by 2 publications

(1 citation statement)

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“…In the last century, Schmidt and Roy proposed the multiple signal classification method (MUSIC) [9][10][11][12][13] and the estimation of signal parameters via rotational invariance technique (ESPRIT) algorithm [14,15]. The covariance matrix of the received signal is decomposed into two signal and noise subspaces, and then an orthogonal relation is used to estimate the direction of arrival (DOA) of the signal.…”

Section: Introductionmentioning

confidence: 99%

Research on Partial Discharge Source Localization Based on an Ultrasonic Array and a Step-by-Step Over-Complete Dictionary

et al. 2017

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Partial discharge (PD) in electrical equipment is one of the major causes of electrical insulation failures. Fast and accurate positioning of PD sources allows timely elimination of insulation faults. In order to improve the accuracy of PD detection, this paper mainly studies the direction of arrival (DOA) estimation of PD ultrasonic signals based on a step-by-step over-complete dictionary. The simulation results show that the step by step dictionary can improve the operation speed and save signal processing time. Firstly, a step-by-step over-complete dictionary covering all the angles of space is established according to the expression of the steering vector for a matching pursuit direction finding algorithm, which can save computation time. Then, the step-by-step complete dictionary is set up according to the direction vector, and the atomic precision is respectively set to 10 • , 1 • and 0.1 • . The matching pursuit algorithm is used to carry out the sparse representation of the received data X and select the optimal atom from the step-by-step complete dictionary, and the angle information contained in atoms is DOA of the PD sources. According to the direction finding results, combined with the installation location of the ultrasonic array sensor, the spatial position of a partial discharge source can be obtained using the three platform array location method. Finally, a square ultrasonic array sensor is developed, and an experimental platform for the ultrasonic array detection of partial discharges is set up and used to carry out an experimental study. The results show that the DOA estimation method based on a step-by-step over-complete dictionary can improve the direction finding precision, thereby increasing the subsequent positioning accuracy, and the spatial position estimation error of the PD source obtained under laboratory conditions is about 5 cm, making this a feasible method.

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Section: Introductionmentioning

confidence: 99%

Research on Partial Discharge Source Localization Based on an Ultrasonic Array and a Step-by-Step Over-Complete Dictionary

et al. 2017

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A new estimation algorithm based on the criterion of eigenvalue transformation for the number of coherent sources

Han

Tang

Yang

2010

2010 2nd IEEE InternationalConference on Network Infrastructure and Digital Content

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A new algorithm which can detect the number of sources accurately in the case of a high degree of coherence and small difference between incident angles is proposed in this paper. The algorithm is based on the criterion of eigenvalue transformation of the covariance Matrix. Firstly, the output covariance matrix is decohered with toeplitz matrix, and then the number of coherent sources is estimated precisely through the appropriate threshold calculated by the new criterion of eigenvalue transformation. Simulations demonstrate the effectiveness of the algorithm.

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Research on Ultrasonic Locating of Partial Discharge in Power Transformer Based on Modified Multiple Signal Classification

Cited by 2 publications

References 3 publications

Research on Partial Discharge Source Localization Based on an Ultrasonic Array and a Step-by-Step Over-Complete Dictionary

Research on Partial Discharge Source Localization Based on an Ultrasonic Array and a Step-by-Step Over-Complete Dictionary

A new estimation algorithm based on the criterion of eigenvalue transformation for the number of coherent sources

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