A RSSI-AOA-Based UHF Partial Discharge Localization Method Using MUSIC Algorithm

Zheng, Quanfu; Luo, Lingen; Song, Hui; Sheng, Gehao; Jiang, Xiuchen

doi:10.1109/tim.2021.3070617

Cited by 22 publications

(9 citation statements)

References 26 publications

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“…e traditional ism algorithm decomposes the broadband signal into J narrowband components in the frequency domain, directly decomposes the array output covariance matrix of each subband to obtain the orthogonal signal subspace and noise subspace, and then uses the music algorithm for spectrum estimation [13][14][15]. In order to estimate the covariance matrix on each narrow band, it is necessary to convert the time domain observation signal to the frequency-domain [16].…”

Section: Ism Traditional Algorithmmentioning

confidence: 99%

Analysis of Financial Management Target Architecture Based on ISM Model

2022

Mathematical Problems in Engineering

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In order to better construct the financial management standard distribution architecture, this paper proposes a financial management target architecture based on the ISM model. By discussing the stability, periodicity, and hierarchy of enterprise financial management objectives, this paper describes the system structure of enterprise financial management objectives by using the ISM model method of system engineering and establishes a five-level hierarchical structure model of financial management objective system. In this paper, the ISM algorithm is improved, two algorithms are proposed and their root mean square error is compared and analyzed. The experimental results show that the root mean square error of the EWISM algorithm and ETISM algorithm is significantly smaller than that of the traditional ism algorithm when the signal-to-noise ratio is 5–20db. Conclusion. By analyzing the architecture of financial management objectives based on the ISM model and improving the ISM algorithm, it can provide a better reference for enterprises to determine financial management objectives.

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Section: Ism Traditional Algorithmmentioning

confidence: 99%

Analysis of Financial Management Target Architecture Based on ISM Model

2022

Mathematical Problems in Engineering

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“…In 5G mmWave networks, there are some technologies of user localization. The first kind of technique predicts the users' location by using the estimated Time of Arrival (ToA) [37][38][39], Angle of Arrival (AoA) [11,27,[40][41][42][43]. For instance, the authors in [11] achieved the localization error in the range from 0.16 m to 3.25 m by using data fusion and machine learning to estimate the ToA and AoA at users.…”

Section: Related Workmentioning

confidence: 99%

Inter-User Distance Estimation Based on a New Type of Fingerprint in Massive MIMO System for COVID-19 Contact Detection

Yang

Bouazizi

Cao

et al. 2022

Sensors

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In this paper, we address the challenging task of estimating the distance between different users in a Millimeter Wave (mmWave) massive Multiple-Input Multiple-Output (mMIMO) system. The conventional Time of Arrival (ToA) and Angle of Arrival (AoA) based methods need users under the Line-of-Sight (LoS) scenario. Under the Non-LoS (NLoS) scenario, the fingerprint-based method can extract the fingerprint that includes the location information of users from the channel state information (CSI). However, high accuracy CSI estimation involves a huge overhead and high computational complexity. Thus, we design a new type of fingerprint generated by beam sweeping. In other words, we do not have to know the CSI to generate fingerprint. In general, each user can record the Received Signal Strength Indicator (RSSI) of the received beams by performing beam sweeping. Such measured RSSI values, formatted in a matrix, could be seen as beam energy image containing the angle and location information. However, we do not use the beam energy image as the fingerprint directly. Instead, we use the difference between two beam energy images as the fingerprint to train a Deep Neural Network (DNN) that learns the relationship between the fingerprints and the distance between these two users. Because the proposed fingerprint is rich in terms of the users’ location information, the DNN can easily learn the relationship between the difference between two beam energy images and the distance between those two users. We term it as the DNN-based inter-user distance (IUD) estimation method. Nonetheless, we investigate the possibility of using a super-resolution network to reduce the involved beam sweeping overhead. Using super-resolution to increase the resolution of low-resolution beam energy images obtained by the wide beam sweeping for IUD estimation can facilitate considerate improvement in accuracy performance. We evaluate the proposed DNN-based IUD estimation method by using original images of resolution 4 × 4, 8 × 8, and 16 × 16. Simulation results show that our method can achieve an average distance estimation error equal to 0.13 m for a coverage area of 60 × 30 m2. Moreover, our method outperforms the state-of-the-art IUD estimation methods that rely on users’ location information.

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“…Thus, for the general monitoring of open area substations, other techniques that require less complex apparatus, such as the direction of arrival (DOA) [114]- [116] (Fig. 15) and received signal strength indicator (RSSI) [117]- [120](Fig. 16), can be used to indicate, with relative accuracy, which equipment is defective within the substation, but without further details regarding the position of the internal failure in the equipment.…”

Section: A Trends Challenges and Open Issuesmentioning

confidence: 99%

Detection, Classification and Location of Sources of Partial Discharges Using the Radiometric Method: Trends, Challenges and Open Issues

et al. 2021

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In this article, we provide a comprehensive survey on the most relevant research in the area of detection, classification and location of partial discharge (PD) sources using the radiometric or ultra high frequency (UHF) method, focusing mainly on the works related to the use of antennas. To the best of the authors knowledge, this is the first review paper that focuses on the application of antennas based on UHF method in the complete diagnosis of PD. Specifically, we first present the main contributions to the development and optimization of UHF sensors for application in the detection of PD sources. Second, articles that used the UHF method to identify different types of PD in high voltage equipment are described. Finally, the main contributions regarding the location of sources of defects using the radiometric method are presented. Summary of works in the area of UHF detection sensors, PD classification and PD location, with their respective contributions, are shown. Finally, research trends, challenging and open issues are discussed. The purpose of this article is to provide important information about the complete diagnosis of PD, which could be used to guide the development of more efficient techniques in this research area.

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A RSSI-AOA-Based UHF Partial Discharge Localization Method Using MUSIC Algorithm

Cited by 22 publications

References 26 publications

Analysis of Financial Management Target Architecture Based on ISM Model

Analysis of Financial Management Target Architecture Based on ISM Model

Inter-User Distance Estimation Based on a New Type of Fingerprint in Massive MIMO System for COVID-19 Contact Detection

Detection, Classification and Location of Sources of Partial Discharges Using the Radiometric Method: Trends, Challenges and Open Issues

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