A Statistical Study of DORT Method for Locating Soft Faults in Complex Wire Networks

Kafal, Moussa; Benoit, Jaume; Cozza, Andréa; Pichon, Lionel

doi:10.1109/tmag.2017.2765463

Cited by 16 publications

(2 citation statements)

References 9 publications

(10 reference statements)

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“…Based on this, direction of arrival (DOA) estimation becomes a good candidate for precise attainment of ES direction and persuades considerable contemplation of researchers for years [6,7]. Recent years, there are many DOA estimation methods springing up, such as estimation of signal parameter via rotational invariance technique (ESPRIT) [8], multiple signal classification (MUSIC) [9] and decomposition of reverse time operator (DORT) [10]. However, these subspace methods present a high complexity due to the fact that they strongly rely on eigenvalues or singular value decomposition for differentiating the signal or noise subspace.…”

Section: Introductionmentioning

confidence: 99%

DOA Estimation of Unknown Emitter Signal Based on Time Reversal and Coprime Array

Liu²,

Zhao

et al. 2019

Sensors

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In this paper, a novel direction-of-arrival (DOA) estimation for unknown (anonymous) emitter signal (ES) based on time reversal (TR) and coprime array (CA) is proposed. The resolution and accuracy of DOA estimation are enhanced from two aspects: one is from the view of array arrangement: the new distribution of CA is designed to reduce the holes, increase the degree of freedom (DOF) and apertures by rotating and translating only one subarray, which simplifies the operation. The other one is from the view of the algorithm: a neoteric DOA estimation algorithm with noise suppression based on TR, Capon and adaptive neuro-fuzzy inference system (ANFIS) is proposed for solving the wide sidelobe, multipath effect, low resolution and accuracy produced by conventional algorithms, in particular, those cannot work effectively under the existed hole condition. Furthermore, the resubmitting distorted noise and channel noise are suppressed effectively, which is not taken into considered in the conventional Capon algorithm. Simulation results including the resolution, accuracy, root mean square error (RMSE), Cramér-Rao lower bound (CRLB) and the compared analyses on uniform linear array (ULA), nested array (NA) and minimum redundancy array(MRA) demonstrate the performance advantages of the proposed DOA estimation algorithm even at very low signal-to-noise ratio (SNR) condition.

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Section: Introductionmentioning

confidence: 99%

DOA Estimation of Unknown Emitter Signal Based on Time Reversal and Coprime Array

Liu²,

Zhao

et al. 2019

Sensors

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“…Accordingly, monitoring failures and troubleshooting cables have become an important issue in order to ensure safe operation, high performance and cost effectiveness. Incipient or soft faults have been extensively handled in current literature where recent studies have focused on the application of time reversal (TR) to the problem of soft fault location and showed high accuracy and robustness against fault impedances [1]- [6]. Impedance spectroscopy [7], inverse scattering [8] and methods based on the estimation of the per unit length resistance profile R(z) of a cable under test (CUT) [9] have also proven proficiency in this mission.…”

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confidence: 99%

Enhancing the Spatial Resolution for Wire Fault Detection Systems Using Multi-Carrier Signals

et al. 2018

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Recently, the world is witnessing a vast daily development in technology accompanied with more and more complex electronic systems. They are hosting cumulated lengths of electrical cables that are subject one day or another to the occurrence of wiring faults. Accordingly, wire diagnosis became essentially important for ensuring safety, security, integrity and optimal performance. On the other hand, the emergence of sensor networks and connected objects have created the need for embedded and non invasive fault diagnosis solutions. Notably, multi-carrier reflectometry methods have shown promising and efficient results in locating upcoming defects on wires in an online manner. Nevertheless, their precision stays within the physical limits of their components, especially the sampling frequency of their analog/digital transitions. In this paper, we will propose several approaches combining multi-carrier reflectometry with phase analysis techniques to overcome this limit. Accordingly, an improvement in the precision of the fault localization and a high spatial resolution is obtained. Based on an FPGA implementation, our novel methods and the resulting systems have proven a fivetimes better accuracy than state-of-the-art methods on the same platform.

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A defect location method for power cable based on Burg power spectral

Tang,

Zhou,

et al. 2024

Engineering Reports

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The frequency‐domain reflection (FDR) has been demonstrated to be a trustworthy technique in solving the defect location of power cable by field experiments. However, the location spectrum of the FDR requires manual window smoothing and can be disturbed by spurious peaks. Aiming at these shortcomings of FDR, a new method of cable defect location based on Burg power spectral (BPS) is introduced in this paper. The idea of this method is to use linear difference variance to fit the distribution of reflection coefficient spectrum and build an auto‐regressive (AR) model. The Burg algorithm is employed to estimate the coefficients model and calculate the power distribution of the AR model. Then, the cable defects will be located by BPS with high precision and resolution. In this method, the fast Fourier transform (FFT) with windowed function is replaced by an AR model without windowed function. This suppressed the impact of spurious peaks or spectrum leakage in FFT on the localization defects, and the localization resolution is higher. Finally, we validate the feasibility and effectiveness of BPS through experiments conducted on a 500 m laboratory cable and a 9.6 km submarine cable.

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A Statistical Study of DORT Method for Locating Soft Faults in Complex Wire Networks

Cited by 16 publications

References 9 publications

DOA Estimation of Unknown Emitter Signal Based on Time Reversal and Coprime Array

DOA Estimation of Unknown Emitter Signal Based on Time Reversal and Coprime Array

Enhancing the Spatial Resolution for Wire Fault Detection Systems Using Multi-Carrier Signals

A defect location method for power cable based on Burg power spectral

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