Partial discharge ultrasonic detection based on EULER‐MUSIC algorithm and conformal array sensor

Pang, Xianhai; Wu, Han; Li, Xiaofeng; Qi, Yihong; Jing, Hao; Zhang, Jiantao; Xie, Qing

doi:10.1049/iet-gtd.2017.2016

Cited by 11 publications

(9 citation statements)

References 14 publications

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“…sin(2𝜋t f ), (15) where k 1 = 1.5 × 10 −8 , k 2 = 2.0 × 10 −8 , f = 1.0 × 10 8 . Here the influence of the distance between the PD source and antenna array is ignored.…”

Section: Detailed Configuration Of the Mlp Model And The Data-driven ...mentioning

confidence: 99%

“…It is very successful in direction finding mainly based on the phase coherence of signals caught by sensors in the array. Until now, a large number of improved algorithms were proposed, and there are also a few researches in the field of PD detection involving the MUSIC algorithm [14,15]. The Dir-MUSIC algorithm is also an improvement of the MUSIC algorithm, and it has three main advantages: (1) Under the premise of guaranteeing the accuracy, the Dir-MUSIC algorithm uses strength information instead of phase information, and this change can reduce the requirement of sampling rate; (2) The phase information is strongly dependent on the signal frequency.…”

Section: Introductionmentioning

confidence: 99%

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A data‐driven Dir‐MUSIC method based on the MLP model

2022

IET Science Measure & Tech

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The directional multiple signal classification (Dir-MUSIC) algorithm based on antenna gain array manifold has been proposed to find the direction of the partial discharge source successfully in substations, however, a non-linear optimisation problem in this algorithm is usually time-consuming. To achieve real-time feature, a data-driven Dir-MUSIC method based on the multilayer perception model is proposed to speed up the computing process and simultaneously guarantee the accuracy. Pre-trained the multilayer perception model, the non-linear optimisation problem can be treated as a function can be calculated directly. Input of the model is the noise matrix which can be uniquely calculated with a certain matrix measurement, and output is the estimated direction of the partial discharge source. Simulation results demonstrate that the proposed method has an excellent efficiency and relatively high accuracy, and the computing time can match the real-time demand. Additionally, two effective improvements are proposed to raise the direction accuracy and stability. Specifically, mean error is reduced from 2.58 • to 2.22 • with the first improvement, and from 2.58 • to 1.00 • with the second improvement.

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“…sin(2𝜋t f ), (15) where k 1 = 1.5 × 10 −8 , k 2 = 2.0 × 10 −8 , f = 1.0 × 10 8 . Here the influence of the distance between the PD source and antenna array is ignored.…”

Section: Detailed Configuration Of the Mlp Model And The Data-driven ...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A data‐driven Dir‐MUSIC method based on the MLP model

2022

IET Science Measure & Tech

View full text Add to dashboard Cite

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“…In the 1970s, Doctor Schmidt from Stanford University proposed the MUSIC algorithm [ 17 , 18 , 19 ], which estimates directions based on the orthogonality of signal feature subspace and noise feature subspace. Afterward, based on the MUSIC algorithm, a large number of improved algorithms were derived [ 20 , 21 , 22 , 23 , 24 , 25 ], and there were also a few research studies in the field of PD detection involving the MUSIC algorithm [ 26 , 27 ]. However, the existing algorithms have the following limitations: (1) The essence of the MUSIC algorithm is to perform correlation calculation using the phase difference caused by the wave path difference of an array signal.…”

Section: Introductionmentioning

confidence: 99%

Dir-MUSIC Algorithm for DOA Estimation of Partial Discharge Based on Signal Strength Represented by Antenna Gain Array Manifold

Chen

et al. 2022

Sensors

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Inspection robots are widely used in the field of smart grid monitoring in substations, and partial discharge (PD) is an important sign of the insulation state of equipment. PD direction of arrival (DOA) algorithms using conventional beam forming and time difference of arrival (TDOA) require large-scale antenna arrays and high computational complexity, making them difficult to implement on inspection robots. To address this problem, a novel directional multiple signal classification (Dir-MUSIC) algorithm for PD direction finding based on signal strength is proposed, and a miniaturized directional spiral antenna circular array is designed in this paper. First, the Dir-MUSIC algorithm is derived based on the array manifold characteristics. This method uses strength intensity information rather than the TDOA information, which could reduce the computational difficulty and the requirement of array size. Second, the effects of signal-to-noise ratio (SNR) and array manifold error on the performance of the algorithm are discussed through simulations in detail. Then, according to the positioning requirements, the antenna array and its arrangement are developed and optimized. Simulation results suggested that the algorithm has reliable direction-finding performance in the form of six elements. Finally, the effectiveness of the algorithm is tested by using the designed spiral circular array in real scenarios. The experimental results show that the PD direction-finding error is 3.39°, which meets the need for partial discharge DOA estimation using inspection robots in substations.

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“…Therefore, it is necessary to control the occurrence of local overvoltage during the high-voltage insulation operation. It will be more convenient to carry out overvoltage remotely and contactless because in this case there is no need to decommission the equipment [20][21][22][23][24][25][26]. Yet, despite the existing urgency, the degree of development of such control methods has been low until now.…”

Section: Introductionmentioning

confidence: 99%

Non-Contact Methods for High-Voltage Insulation Equipment Diagnosis during Operation

et al. 2021

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The article describes a complex of non-contact methods for remote diagnosis of high-voltage insulators as well as the two-channel method for remote diagnostics of the operating state of high-voltage insulators, based on the registration of partial discharges by electromagnetic and acoustic sensors. The presented device allows visual inspection and searches for faulty high-voltage equipment and a remote non-contact method of recording high-intensity electric fields of industrial frequency and their spatial distribution based on the electro-optical effect. The scheme of using the system for monitoring and diagnosing the technical condition of high-voltage support insulators of open switchgear is described. The results of experimental studies confirm the possibility of industrial applicability of the proposed method for non-contact remote diagnostics of the state of high-voltage insulators under operating voltage.

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Partial discharge ultrasonic detection based on EULER‐MUSIC algorithm and conformal array sensor

Cited by 11 publications

References 14 publications

A data‐driven Dir‐MUSIC method based on the MLP model

A data‐driven Dir‐MUSIC method based on the MLP model

Dir-MUSIC Algorithm for DOA Estimation of Partial Discharge Based on Signal Strength Represented by Antenna Gain Array Manifold

Non-Contact Methods for High-Voltage Insulation Equipment Diagnosis during Operation

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