The capacitive coupler, acoustic emission (AE) sensor and radio frequency current transducer (RFCT) have been used to detect partial discharge (PD) activity within a 132 kV prefabricated cable joint containing known defect. Although each of the three methods has applied individually under different situations, comprehensive investigation comparison these not yet made. Results obtained were compared measurements made using conventional electrical detection method. quantification coupler...

Digital dentistry has received more attention in the past decade. However, current deep learning-based methods still encounter difficult challenges. The proposal-based are sensitive to localization results due lack of local cues, while proposal-free have poor clustering outputs because affinity measured by low-level characteristics, especially situations tightly arranged teeth. In this article, we present a novel approach combine objectness and pointwise knowledge an mechanism for point...

In order to detect and locate partial discharge (PD) activity within HV cables in particular cable joints, the feasibility of using a very high frequency WHO capacitive coupler technique has been investigated. addition, an alternative PD offline test method for joints or sections long systems developed. By energising joint short section screen only this advantage reducing power supply requirement source. The application couplers use approach there must be insulation gap between outer sheath...

Due to electromagnetic interference in power substations, the partial discharge (PD) signals detected by ultrahigh frequency (UHF) antenna sensors often contain various background noises, which may hamper high voltage apparatus fault diagnosis and localization. This paper proposes a novel de-noising method based on generalized S-transform module time-frequency matrix suppress noise UHF PD signals. The sub-matrix maximum value is employed calculate frequencies amplitudes of periodic...

Partial discharge (PD) localisation in air‐insulated substations (AIS) can be used to assess insulation condition efficiently. The results of previously published methods were the form coordinates or bearings, and showed large errors on coordinates. Further research is required if fault pinpointed. In this study, a novel method based directional antenna multi‐point measurement proposed improve accuracy result inform possible error distribution, which reflect fact that where PD ultrahigh...

A technique for the remote inspection and monitoring of partial discharge (PD) activity using an optical network is described. The uses a LiNbO/sub 3/, modulator to modulate intensity transmitted laser light approximately proportional voltage applied across modulator. along fibre measured remotely by high-speed receiver. capacitive coupler has been used detect act as modulator's input source. electro-optic passive does not require power supply at site PD detection sensor. system additional...

An optically-based remote sensing technique using a laser source, polarization scrambler, standard single mode fibers, fiber polarizer, electro-optic (EO) modulator and optical receiver, for continuous on-line monitoring of partial discharges (PD) in high voltage cable joints is proposed. Both the polarizer EO modulator, which are placed near joints, passive without any power requirements. with no electrical bias, operates close to half-intensity point, was used proved have much better light...

For online detection of partial discharge (PD) activity within power cables and cable accessories, one the non-conventional PD techniques, VHF capacitive coupling has been proved to be suitable. However, existence excessive interference can significantly influence measurement sensitivity reliability. This paper investigates application wavelet transforms for de-noising signals obtained using couplers. The experimental work carried out on a 132 kV loop with known defect joint. Obtained...

This work reviews data acquisition, transmission and processing methodologies for continuous on-line monitoring of partial discharges in power cable systems. A PD online system underground circuits using capacitive couplers, LiNbO/sub 3/ electro-optic modulators, laser, optical switch fibers has been proposed. Data methods include pulse shape spectrum analysis, time flight phase-resolved two-dimensional histograms, three-dimensional /spl phi/-q-n patterns, trend wavelet-based denoising,...

As an application of TI's latest multi-core DSP chip TMS320C6678 and Xilinx's FPGA XC5VLX110T, This paper designed implemented a dual-DSP real-time image processing system based on the Serial Rapid IO (SRIO), Hyperlink reconfigurable technology. It used on-chip SRIO interface module, XC5VLX110T Rocket modules, technology to implement loosely coupled parallel interconnection system. Embedded operating system's / BIOS architecture, this program hardware driver bottom layer corresponding data...

To separate and locate multi-partial discharge (PD) sources in a substation, the use of spectrum differences ultra-high frequency signals radiated from various as characteristic parameters has been previously reported. However, separation success rate was poor when signal-to-noise ratio low, localization result coordinate on two-dimensional plane. In this paper, novel method is proposed to improve accuracy. A directional measuring platform built using two antennas. The time delay (TD)...

Ultra‐high‐frequency (UHF) method is an effective approach to power transformer partial discharge (PD) detection. The feature parameters extracted from UHF PD signal can be applied insulation defect type recognition. In this study, a novel extraction based on texture features in time–frequency (TF) representation proposed. detections of four typical defects were performed 110kV oil‐immersed transformer. Time‐domain waveform and corresponding TF representations or images signals obtained....

Abstract Research on tooth surface design based deep neural networks has recently achieved progress in terms of both accuracy and execution efficiency. However, unrealistic outputs are still a challenging issue, partially because (1) the lack semantic guidance, (2) inability to discover rectify false results, (3) exploration structural coherence intermediate layers. In this paper, we present an approach predict depth images for designed teeth conditional generative adversarial network (CGAN)...